Bio

I am the Robert Bosch Chair and a professor in the Mechanical Engineering Department (https://me.stanford.edu).

I received my PhD in Italy from the Politecnico di Bari in 2005 and have worked for several years at the Center for Turbulence Research (NASA Ames & Stanford) before joining the faculty at Stanford in 2007. Since 2014 I am the Director of the PSAAP Center at Stanford, funded by the US Department of Energy: a $20M research Center focused on multiphysics simulations, uncertainty quantification and exascale computing (http://exascale.stanford.edu).

In 2010, I received the Presidential Early Career Award for Scientists and Engineers (PECASE) award from President Obama. in the last couple of years, I received best paper awards from AIAA, ASME IMECE and Turbo Expo Conferences.

Over the years, my interests in research and teaching have touched many topics, but always revolved around the use of computing and data to solve problems in energy, biomedicine, aerodynamics, propulsion, design.

Academic Appointments

Administrative Appointments

  • Chair, Mechanical Engineering Department (2024 - Present)
  • Senior Visiting Member, Institute for Advanced Studies, HKUST (Hong Kong) (2023 - 2023)
  • Visiting Fellow, University of Melbourne (Australia) (2022 - 2023)
  • Visiting Professor, Universita' di Napoli (Italy) (2022 - 2023)
  • Director, ICME Institute for Computational and Mathematical Engineering (2018 - 2024)
  • Visiting Professor, Ecole Centrale Paris (2016 - 2016)
  • Director, Exascale Computing Engineering Center - PSAAP II (2014 - Present)
  • Visiting Professor, Technical University of Munich (2011 - 2011)
  • Director, TFSA Thermal and Fluid Sciences Industrial Affiliates Program (2010 - 2018)
  • Professor, Mechanical Engineering Department, Stanford (2007 - Present)
  • Postdoctoral Fellow, Mechanical Engineering Department, Stanford (2005 - 2007)
  • Research Engineer, CTR, Center for Turbulence Research (1998 - 2005)
  • Research Scientist, CIRA, Italian Center for Aerospace Research (1993 - 1998)

Honors & Awards

  • Fellow of the American Physical Society (elected), APS (2019)
  • TUM Ambassador, Technical University of Munich (2018)
  • ASME IMECE Best Paper Award, ASME (2017)
  • Jefferson Goblet Award, Best Paper, AIAA (2017)
  • Turbo Expo Best Paper Award, ASME (2016)
  • William R. and Inez Kerr Bell Faculty Scholar, Stanford University (2014)
  • Gold Medal Honoring Italians Abroad, City of Piano di Sorrento (Italy) (2013)
  • Associate Fellow of the American Institute of Aeronautics and Astronautics, AIAA (2011)
  • Presidential Early Career Award for Scientists and Engineers, The White House & US Department of Energy (2010)
  • Humboldt Fellowship, Humboldt Research Fellowship Program (2009)
  • Terman Fellow, Stanford University (2007)

Boards, Advisory Committees, Professional Organizations

  • Guest Editor, International Journal of Uncertainty Quantification (2019 - Present)
  • Associate Editor, Computers and Fluids (2018 - Present)
  • Associate Editor, Flow, Turbulence & Combustion (2015 - Present)
  • Associate Editor, Journal of Computational Physics (2014 - Present)
  • Co-Chair, APS Division of Fluid Dynamics Conference (2014 - 2014)
  • AdCom, Advisory Committee to the Chair, Mechanical Engineer Department, Stanford (2013 - 2018)
  • Associate Editor, ASME Applied Mechanics Review (2013 - 2017)
  • General Chair (elected), AIAA XVI Non-Deterministic Approaches (2013 - 2013)
  • Technical Chair (elected), AIAA XV Non-Deterministic Approaches (2013 - 2013)
  • Associate Fellow, AIAA (2012 - Present)
  • Member, SIAM, ASME, AIAA, APS (2010 - Present)
  • Non-Deterministic Approaches Technical Committee, AIAA (2010 - Present)
  • Member of the Board of Directors, Cascade Technologies Inc (2000 - Present)

Professional Education

  • PhD, Politecnico di Bari, Italy, Mechanical Engineering (2005)
  • MS, University di Napoli, Italy, Aeronautical Engineering (1993)
  • BS, University di Napoli, Italy, Aeronautical Engineering (1992)

Patents

  • ES Shaqfeh, G Iaccarino, P Shah. "United States Patent App. 15/435,112 Methods and Systems for Simulating Nanoparticle Flux", Leland Stanford Junior University, Sep 14, 2017

Contact

  • Academic
    jops@stanford.edu
    University - Faculty Department: Mechanical Engineering Position: Robert Bosch Chair of Mechanical Engineering Professor of Mechanical Engineering

Additional Info

Links

Current Research and Scholarly Interests

Computing and data for energy, health and engineering

Challenges in energy sciences, green technology, transportation, and in general, engineering design and prototyping are routinely tackled using numerical simulations and physical testing. Computations barely feasible two decades ago on the largest available supercomputers, have now become routine using turnkey commercial software running on a laptop. Demands on the analysis of new engineering systems are becoming more complex and multidisciplinary in nature, but exascale-ready computers are on the horizon. What will be the next frontier? Can we channel this enormous power into an increased ability to simulate and, ultimately, to predict, design and control? In my opinion two roadblocks loom ahead: the development of credible models for increasingly complex multi-disciplinary engineering applications and the design of algorithms and computational strategies to cope with real-world uncertainty.
My research objective is to pursue concerted innovations in physical modeling, numerical analysis, data fusion, probabilistic methods, optimization and scientific computing to fundamentally change our present approach to engineering simulations relevant to broad areas of fluid mechanics, transport phenomena and energy systems. The key realization is that computational engineering has largely ignored natural variability, lack of knowledge and randomness, targeting an idealized deterministic world. Embracing stochastic scientific computing and data/algorithms fusion will enable us to minimize the impact of uncertainties by designing control and optimization strategies that are robust and adaptive. This goal can only be accomplished by developing innovative computational algorithms and new, physics-based models that explicitly represent the effect of limited knowledge on the quantity of interest.

Multidisciplinary Teaching

I consider the classical boundaries between disciplines outdated and counterproductive in seeking innovative solutions to real-world problems. The design of wind turbines, biomedical devices, jet engines, electronic units, and almost every other engineering system requires the analysis of their flow, thermal, and structural characteristics to ensure optimal performance and safety. The continuing growth of computer power and the emergence of general-purpose engineering software has fostered the use of computational analysis as a complement to experimental testing in multiphysics settings. Virtual prototyping is a staple of modern engineering practice! I have designed a new undergraduate course as an introduction to Computational Engineering, covering theory and practice across multidisciplanary applications. The emphasis is on geometry modeling, mesh generation, solution strategy and post-processing for diverse applications. Using classical flow/thermal/structural problems, the course develops the essential concepts of Verification and Validation for engineering simulations, providing the basis for assessing the accuracy of the results.

Projects

  • PSAAP Project, Stanford

    PSAAP Stands for Predictive Science Academic Alliance Program; this is a large research project funded by the US Department of Energy and the National Nuclear Security Administration (https://exascale.stanford.edu/)

    Location

    Stanford

2024-25 Courses

Stanford Advisees

All Publications

  • A physics-informed machine learning model for the prediction of drop breakup in two-phase flows INTERNATIONAL JOURNAL OF MULTIPHASE FLOW Cundy, C., Mirjalili, S., Laurent, C., Ermon, S., Iaccarino, G., Mani, A. 2024; 180

    View details for DOI 10.1016/j.ijmultiphaseflow.2024.104934

    View details for Web of Science ID 001294056600001

  • Computational Study of Laser-Induced Modes of Ignition in a Coflow Combustor FLOW TURBULENCE AND COMBUSTION Passiatore, D., Wang, J. M., Rossinelli, D., Di Renzo, M., Iaccarino, G. 2024

    View details for DOI 10.1007/s10494-024-00575-x

    View details for Web of Science ID 001293501700001

  • Laser-induced indirect ignition of non-premixed turbulent shear layers COMBUSTION AND FLAME Wang, J. M., Di Renzo, M., Iaccarino, G., Wang, H., Urzay, J. 2024; 264

    View details for DOI 10.1016/j.combustflame.2024.113426

    View details for Web of Science ID 001222690000001

  • Uncertainty quantification in autoencoders predictions: Applications in aerodynamics JOURNAL OF COMPUTATIONAL PHYSICS Saetta, E., Tognaccini, R., Iaccarino, G. 2024; 506

    View details for DOI 10.1016/j.jcp.2024.112951

    View details for Web of Science ID 001219680700001

  • Large-scale in-silico analysis of CSF dynamics within the subarachnoid space of the optic nerve. Fluids and barriers of the CNS Rossinelli, D., Fourestey, G., Killer, H. E., Neutzner, A., Iaccarino, G., Remonda, L., Berberat, J. 2024; 21 (1): 20

    Abstract

    Impaired cerebrospinal fluid (CSF) dynamics is involved in the pathophysiology of neurodegenerative diseases of the central nervous system and the optic nerve (ON), including Alzheimer's and Parkinson's disease, as well as frontotemporal dementia. The smallness and intricate architecture of the optic nerve subarachnoid space (ONSAS) hamper accurate measurements of CSF dynamics in this space, and effects of geometrical changes due to pathophysiological processes remain unclear. The aim of this study is to investigate CSF dynamics and its response to structural alterations of the ONSAS, from first principles, with supercomputers.Large-scale in-silico investigations were performed by means of computational fluid dynamics (CFD) analysis. High-order direct numerical simulations (DNS) have been carried out on ONSAS geometry at a resolution of 1.625 μm/pixel. Morphological changes on the ONSAS microstructure have been examined in relation to CSF pressure gradient (CSFPG) and wall strain rate, a quantitative proxy for mass transfer of solutes.A physiological flow speed of 0.5 mm/s is achieved by imposing a hydrostatic pressure gradient of 0.37-0.67 Pa/mm across the ONSAS structure. At constant volumetric rate, the relationship between pressure gradient and CSF-accessible volume is well captured by an exponential curve. The ONSAS microstructure exhibits superior mass transfer compared to other geometrical shapes considered. An ONSAS featuring no microstructure displays a threefold smaller surface area, and a 17-fold decrease in mass transfer rate. Moreover, ONSAS trabeculae seem key players in mass transfer.The present analysis suggests that a pressure drop of 0.1-0.2 mmHg over 4 cm is sufficient to steadily drive CSF through the entire subarachnoid space. Despite low hydraulic resistance, great heterogeneity in flow speeds puts certain areas of the ONSAS at risk of stagnation. Alterations of the ONSAS architecture aimed at mimicking pathological conditions highlight direct relationships between CSF volume and drainage capability. Compared to the morphological manipulations considered herein, the original ONSAS architecture seems optimized towards providing maximum mass transfer across a wide range of pressure gradients and volumetric rates, with emphasis on trabecular structures. This might shed light on pathophysiological processes leading to damage associated with insufficient CSF flow in patients with optic nerve compartment syndrome.

    View details for DOI 10.1186/s12987-024-00518-8

    View details for PubMedID 38419077

    View details for PubMedCentralID PMC10900650

  • Toward accelerated data-driven Rayleigh-Bénard convection simulations. The European physical journal. E, Soft matter Alieva, A., Hoyer, S., Brenner, M., Iaccarino, G., Norgaard, P. 2023; 46 (7): 64

    Abstract

    A hybrid data-driven/finite volume method for 2D and 3D thermal convective flows is introduced. The approach relies on a single-step loss, convolutional neural network that is active only in the near-wall region of the flow. We demonstrate that the method significantly reduces errors in the prediction of the heat flux over the long-time horizon and increases pointwise accuracy in coarse simulations, when compared to direct computations on the same grids with and without a traditional subgrid model. We trace the success of our machine learning model to the choice of the training procedure, incorporating both the temporal flow development and distributional bias.

    View details for DOI 10.1140/epje/s10189-023-00302-w

    View details for PubMedID 37505317

  • Neural networks for large eddy simulations of wall-bounded turbulence: numerical experiments and challenges. The European physical journal. E, Soft matter Benjamin, M., Domino, S. P., Iaccarino, G. 2023; 46 (7): 55

    Abstract

    We examine the application of neural network-based methods to improve the accuracy of large eddy simulations of incompressible turbulent flows. The networks are trained to learn a mapping between flow features and the subgrid scales, and applied locally and instantaneously-in the same way as traditional physics-based subgrid closures. Models that use only the local resolved strain rate are poorly correlated with the actual subgrid forces obtained from filtering direct numerical simulation data. We see that highly accurate models in a priori testing are inaccurate in forward calculations, owing to the preponderance of numerical errors in implicitly filtered large eddy simulations. A network that accounts for the discretization errors is trained and found to be unstable in a posteriori testing. We identify a number of challenges that the approach faces, including a distribution shift that affects networks that fail to account for numerical errors.

    View details for DOI 10.1140/epje/s10189-023-00314-6

    View details for PubMedID 37458832

  • SIMULTANEOUS IDENTIFICATION AND DENOISING OF DYNAMICAL SYSTEMS SIAM JOURNAL ON SCIENTIFIC COMPUTING Hokanson, J. M., Iaccarino, G., Doostan, A. 2023; 45 (4): A1413-A1437

    View details for DOI 10.1137/22M1486303

    View details for Web of Science ID 001036538600001

  • Differentiable Control for Adaptive Wake Steering Adcock, C., Iaccarino, G., King, J., IEEE IEEE. 2023: 165-170

    View details for Web of Science ID 001027160300022

  • Machine Learning to Predict Aerodynamic Stall INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS Saetta, E., Tognaccini, R., Iaccarino, G. 2022; 36 (7): 641-654

    View details for DOI 10.1080/10618562.2023.2171021

    View details for Web of Science ID 000933273100008

  • Spinning-enabled wireless amphibious origami millirobot. Nature communications Ze, Q., Wu, S., Dai, J., Leanza, S., Ikeda, G., Yang, P. C., Iaccarino, G., Zhao, R. R. 2022; 13 (1): 3118

    Abstract

    Wireless millimeter-scale origami robots have recently been explored with great potential for biomedical applications. Existing millimeter-scale origami devices usually require separate geometrical components for locomotion and functions. Additionally, none of them can achieve both on-ground and in-water locomotion. Here we report a magnetically actuated amphibious origami millirobot that integrates capabilities of spinning-enabled multimodal locomotion, delivery of liquid medicine, and cargo transportation with wireless operation. This millirobot takes full advantage of the geometrical features and folding/unfolding capability of Kresling origami, a triangulated hollow cylinder, to fulfill multifunction: its geometrical features are exploited for generating omnidirectional locomotion in various working environments through rolling, flipping, and spinning-induced propulsion; the folding/unfolding is utilized as a pumping mechanism for controlled delivery of liquid medicine; furthermore, the spinning motion provides a sucking mechanism for targeted solid cargo transportation. We anticipate the amphibious origami millirobots can potentially serve as minimally invasive devices for biomedical diagnoses and treatments.

    View details for DOI 10.1038/s41467-022-30802-w

    View details for PubMedID 35701405

  • Task-parallel in situ temporal compression of large-scale computational fluid dynamics data INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS Pacella, H., Dunton, A., Doostan, A., Iaccarino, G. 2022

    View details for DOI 10.1177/10943420221085000

    View details for Web of Science ID 000786636800001

  • When Are Allowables Conservative? AIAA JOURNAL del Rosario, Z., Fenrich, R. W., Iaccarino, G. 2021; 59 (5): 1760-1772

    View details for DOI 10.2514/1.J059578

    View details for Web of Science ID 000647156500020

  • Extending bluff-and-fix estimates for polynomial chaos expansions JOURNAL OF COMPUTATIONAL SCIENCE Lyman, L., Iaccarino, G. 2021; 50

    View details for Web of Science ID 000697573900007

  • Learning to differentiate JOURNAL OF COMPUTATIONAL PHYSICS Alund, O., Iaccarino, G., Nordstrom, J. 2021; 424

    View details for DOI 10.1016/j.jcp.2020.109873

    View details for Web of Science ID 000588203600029

  • Extending bluff-and-fix estimates for polynomial chaos expansions Journal of Computational Science Lyman, L., Iaccarino, G. 2021; 50: 101287

    View details for DOI 10.1016/j.jocs.2020.101287

  • Pass-efficient methods for compression of high-dimensional turbulent flow data JOURNAL OF COMPUTATIONAL PHYSICS Dunton, A. M., Jofre, L., Iaccarino, G., Doostan, A. 2020; 423

    View details for DOI 10.1016/j.jcp.2020.109704

    View details for Web of Science ID 000588199000039

  • A benchmark for particle-laden turbulent duct flow: A joint computational and experimental study INTERNATIONAL JOURNAL OF MULTIPHASE FLOW Esmaily, M., Villafane, L., Banko, A. J., Iaccarino, G., Eaton, J. K., Mani, A. 2020; 132

    View details for DOI 10.1016/j.ijmultiphaseflow.2020.103410

    View details for Web of Science ID 000601063300006

  • Design exploration and optimization under uncertainty PHYSICS OF FLUIDS Mishra, A., Mukhopadhaya, J., Alonso, J., Iaccarino, G. 2020; 32 (8)

    View details for DOI 10.1063/5.0020858

    View details for Web of Science ID 000563493800001

  • Uncertainty quantification of combustion noise by generalized polynomial chaos and state-space models COMBUSTION AND FLAME Silva, C. F., Pettersson, P., Iaccarino, G., Ihme, M. 2020; 217: 113–30

    View details for DOI 10.1016/j.combustflame.2020.03.010

    View details for Web of Science ID 000537624000013

  • Data-driven dimensional analysis of heat transfer in irradiated particle-laden turbulent flow INTERNATIONAL JOURNAL OF MULTIPHASE FLOW Jofre, L., del Rosario, Z. R., Iaccarino, G. 2020; 125

    View details for DOI 10.1016/j.ijmultiphaseflow.2019.103198

    View details for Web of Science ID 000525874000017

  • Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence JOURNAL OF COMPUTATIONAL PHYSICS Fairbanks, H. R., Jofre, L., Geraci, G., Iaccarino, G., Doostan, A. 2020; 402

    View details for DOI 10.1016/j.jcp.2019.108996

    View details for Web of Science ID 000503387600012

  • MULTILEVEL MONTE CARLO SAMPLING ON HETEROGENEOUS COMPUTER ARCHITECTURES INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION Adcock, C., Ye, Y., Jofre, L., Laccarino, G. 2020; 10 (6): 575–94

    View details for DOI 10.1615/Int.J.UncertaintyQuantification.2020033179

    View details for Web of Science ID 000599583800005

  • FOREWORD: SPECIAL ISSUE ON MULTILEVEL-MULTIFIDELITY APPROACHES FOR UNCERTAINTY QUANTIFICATION INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION Eldred, M. S., Geraci, G., Iaccarino, G. 2020; 10 (6): V-IX

    View details for DOI 10.1615/Int.J.UncertaintyQuantification.v10.i6.10

    View details for Web of Science ID 000599583800001

  • MULTIFIDELITY MODELING OF IRRADIATED PARTICLE-LADEN TURBULENCE SUBJECT TO UNCERTAINTY INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION Jofre, L., Papadakis, M., Roy, P. T., Aiken, A., Iaccarino, G. 2020; 10 (6): 499–514

    View details for DOI 10.1615/Int.J.UncertaintyQuantification.2020032236

    View details for Web of Science ID 000599583800002

  • Single-point structure tensors in turbulent channel flows with smooth and wavy walls PHYSICS OF FLUIDS Yuan, J., Mishra, A., Brereton, G., Iaccarino, G., Vartdal, M. 2019; 31 (12)

    View details for DOI 10.1063/1.5130629

    View details for Web of Science ID 000505722900001

  • Fast Precision Margin with the First-Order Reliability Method del Rosario, Z., Iaccarino, G., Fenrich, R. W. AMER INST AERONAUTICS ASTRONAUTICS. 2019: 5042–53

    View details for DOI 10.2514/1.J058345

    View details for Web of Science ID 000501328200035

  • Simulation of microparticle inhalation in rhesus monkey airways PHYSICAL REVIEW FLUIDS Geisler, T. S., Majji, M., Kesavan, J. S., Alstadt, V. J., Shaqfeh, E. G., Iaccarino, G. 2019; 4 (8)

    View details for DOI 10.1103/PhysRevFluids.4.083101

    View details for Web of Science ID 000480243600001

  • Cutting the double loop: Theory and algorithms for reliability-based design optimization with parametric uncertainty INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING del Rosario, Z., Fenrich, R. W., Iaccarino, G. 2019; 118 (12): 718–40

    View details for DOI 10.1002/nme.6035

    View details for Web of Science ID 000467449900002

  • Eigensensitivity analysis of subgrid-scale stresses in large-eddy simulation of a turbulent axisymmetric jet INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW Jofre, L., Domino, S. P., Iaccarino, G. 2019; 77: 314–35

    View details for DOI 10.1016/j.ijheatfluidflow.2019.04.014

    View details for Web of Science ID 000471084900025

  • Eigenvector perturbation methodology for uncertainty quantification of turbulence models PHYSICAL REVIEW FLUIDS Thompson, R. L., Mishra, A., Iaccarino, G., Edeling, W., Sampaio, L. 2019; 4 (4)

    View details for DOI 10.1103/PhysRevFluids.4.044603

    View details for Web of Science ID 000463909300001

  • Uncertainty Estimation Module for Turbulence Model Predictions in SU2 AIAA JOURNAL Mishra, A., Mukhopadhaya, J., Iaccarino, G., Alonso, J. 2019; 57 (3): 1066–77

    View details for DOI 10.2514/1.J057187

    View details for Web of Science ID 000459609400016

  • Estimating uncertainty in homogeneous turbulence evolution due to coarse-graining PHYSICS OF FLUIDS Mishra, A., Duraisamy, K., Iaccarino, G. 2019; 31 (2)

    View details for DOI 10.1063/1.5080460

    View details for Web of Science ID 000460093800072

  • Quadrature Strategies for Constructing Polynomial Approximations Seshadri, P., Iaccarino, G., Ghisu, T., Canavero, F. SPRINGER INTERNATIONAL PUBLISHING AG. 2019: 1–25

    View details for DOI 10.1007/978-3-030-04870-9_1

    View details for Web of Science ID 000505478300001

  • Lurking Variable Detection via Dimensional Analysis SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION del Rosario, Z., Lee, M., Iaccarino, G. 2019; 7 (1): 232–59

    View details for DOI 10.1137/17M1155508

    View details for Web of Science ID 000462645400010

  • Turbulence Modeling in the Age of Data ANNUAL REVIEW OF FLUID MECHANICS, VOL 51 Duraisamy, K., Iaccarino, G., Xiao, H., Davis, S. H., Moin, P. 2019; 51: 357–77

    View details for DOI 10.1146/annurev-fluid-010518-040547

    View details for Web of Science ID 000456389200014

  • An Alternative Formulation for Design Under Uncertainty Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences Fusi, F., Congedo, P., Geraci, G., Iaccarino, G. Springer. 2019
  • Immersed-finite-element method for deformable particle suspensions in viscous and viscoelastic media PHYSICAL REVIEW E Saadat, A., Guido, C. J., Iaccarino, G., Shaqfeh, E. G. 2018; 98 (6)

    View details for DOI 10.1103/PhysRevE.98.063316

    View details for Web of Science ID 000454635700007

  • Hierarchy of models for electrostatic comb-drive actuators in electrolytes JOURNAL OF MICROMECHANICS AND MICROENGINEERING Dibua, O. L., Ramsurrun, S., Mani, A., Pruitt, B. L., Iaccarino, G. 2018; 28 (12)

    View details for DOI 10.1088/1361-6439/aae9bb

    View details for Web of Science ID 000450253500002

  • Effects of particle polydispersity on radiative heat transfer in particle-laden turbulent flows INTERNATIONAL JOURNAL OF MULTIPHASE FLOW Rahmani, M., Geraci, G., Iaccarino, G., Mani, A. 2018; 104: 42–59

    View details for DOI 10.1016/j.ijmultiphaseflow.2018.03.011

    View details for Web of Science ID 000432643700005

  • Data-Free and Data-Driven RANS Predictions with Quantified Uncertainty FLOW TURBULENCE AND COMBUSTION Edeling, W. N., Iaccarino, G., Cinnella, P. 2018; 100 (3): 593–616

    View details for DOI 10.1007/s10494-017-9870-6

    View details for Web of Science ID 000426863700001

  • A Framework for Characterizing Structural Uncertainty in Large-Eddy Simulation Closures FLOW TURBULENCE AND COMBUSTION Jofre, L., Domino, S. P., Iaccarino, G. 2018; 100 (2): 341–63

    View details for DOI 10.1007/s10494-017-9844-8

    View details for Web of Science ID 000424665400002

  • Suspension flow through an asymmetric T-junction Journal of Fluid Mechanics Manoorkar, S., Krishnan, S., Sedes, O., Shaqfeh, E., Iaccarino, G. 2018; 844

    View details for DOI 10.1017/jfm.2018.183

  • DEMONSTRATING THE POTENTIAL OF A NOVEL MODEL TO IMPROVE OPEN-LOOP CONTROL OF ELECTROSTATIC COMB-DRIVE ACTUATORS IN ELECTROLYTES Dibua, O., Mukundan, V., Pruitt, B., Mani, A., Iaccarino, G., ASME AMER SOC MECHANICAL ENGINEERS. 2018

    View details for Web of Science ID 000428486500022

  • Application of QMU to the design of a nuclear waste storage tank NUCLEAR ENGINEERING AND DESIGN Frankel, A., Sharp, D., Iaccarino, G. 2017; 324: 379–89

    View details for DOI 10.1016/j.nucengdes.2017.09.016

    View details for Web of Science ID 000414699200033

  • Uncertainty Estimation for Reynolds-Averaged Navier-Stokes Predictions of High-Speed Aircraft Nozzle Jets AIAA JOURNAL Mishra, A., Iaccarino, G. 2017; 55 (11): 3999–4004

    View details for DOI 10.2514/1.J056059

    View details for Web of Science ID 000413944800033

  • Growth of viscoelastic wings and the reduction of particle mobility in a viscoelastic shear flow PHYSICAL REVIEW FLUIDS Murch, W. L., Krishnan, S., Shaqfeh, E. G., Iaccarino, G. 2017; 2 (10)

    View details for DOI 10.1103/PhysRevFluids.2.103302

    View details for Web of Science ID 000413739100002

  • Study of the flow unsteadiness in the human airway using large eddy simulation PHYSICAL REVIEW FLUIDS Bernate, J. A., Geisler, T. S., Padhy, S., Shaqfeh, E. G., Iaccarino, G. 2017; 2 (8)

    View details for DOI 10.1103/PhysRevFluids.2.083101

    View details for Web of Science ID 000407447900001

  • A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems JOURNAL OF COMPUTATIONAL PHYSICS Fairbanks, H. R., Doostan, A., Ketelsen, C., Laccarino, G. 2017; 341: 121-139

    View details for DOI 10.1016/j.jcp.2017.03.060

    View details for Web of Science ID 000402211300008

  • Fully resolved viscoelastic particulate simulations using unstructured grids JOURNAL OF COMPUTATIONAL PHYSICS Krishnan, S., Shaqfeh, E. S., Iaccarino, G. 2017; 338: 313-338

    View details for DOI 10.1016/j.jcp.2017.02.068

    View details for Web of Science ID 000400037800015

  • Polynomial chaos assessment of design tolerances for vortex-induced vibrations of two cylinders in tandem AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING Geraci, G., de Tullio, M. D., Iaccarino, G. 2017; 31 (2): 185-198

    View details for DOI 10.1017/S0890060417000075

    View details for Web of Science ID 000400957900006

  • Efficient control variates for uncertainty quantification of radiation transport JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER Frankel, A., Iaccarino, G. 2017; 189: 398-406

    View details for DOI 10.1016/j.jqsrt.2016.12.033

    View details for Web of Science ID 000394060900040

  • Eigenspace perturbations for uncertainty estimation of single-point turbulence closures PHYSICAL REVIEW FLUIDS Iaccarino, G., Mishra, A. A., Ghili, S. 2017; 2 (2)

    View details for DOI 10.1103/PhysRevFluids.2.024605

    View details for Web of Science ID 000396067700002

  • A generalized multi-resolution expansion for uncertainty propagation with application to cardiovascular modeling COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Schiavazzi, D. E., Doostan, A., Iaccarino, G., Marsden, A. L. 2017; 314: 196-221

    Abstract

    Computational models are used in a variety of fields to improve our understanding of complex physical phenomena. Recently, the realism of model predictions has been greatly enhanced by transitioning from deterministic to stochastic frameworks, where the effects of the intrinsic variability in parameters, loads, constitutive properties, model geometry and other quantities can be more naturally included. A general stochastic system may be characterized by a large number of arbitrarily distributed and correlated random inputs, and a limited support response with sharp gradients or event discontinuities. This motivates continued research into novel adaptive algorithms for uncertainty propagation, particularly those handling high dimensional, arbitrarily distributed random inputs and non-smooth stochastic responses. In this work, we generalize a previously proposed multi-resolution approach to uncertainty propagation to develop a method that improves computational efficiency, can handle arbitrarily distributed random inputs and non-smooth stochastic responses, and naturally facilitates adaptivity, i.e., the expansion coefficients encode information on solution refinement. Our approach relies on partitioning the stochastic space into elements that are subdivided along a single dimension, or, in other words, progressive refinements exhibiting a binary tree representation. We also show how these binary refinements are particularly effective in avoiding the exponential increase in the multi-resolution basis cardinality and significantly reduce the regression complexity for moderate to high dimensional random inputs. The performance of the approach is demonstrated through previously proposed uncertainty propagation benchmarks and stochastic multi-scale finite element simulations in cardiovascular flow.

    View details for DOI 10.1016/j.cma.2016.09.024

    View details for Web of Science ID 000392782900012

    View details for PubMedCentralID PMC5568857

  • Vortex-induced rotations of a rigid square cylinder at low Reynolds numbers JOURNAL OF FLUID MECHANICS Ryu, S., Iaccarino, G. 2017; 813: 482-507

    View details for DOI 10.1017/jfm.2016.77

    View details for Web of Science ID 000394376400024

  • LEAST SQUARES APPROXIMATION OF POLYNOMIAL CHAOS EXPANSIONS WITH OPTIMIZED GRID POINTS SIAM JOURNAL ON SCIENTIFIC COMPUTING Ghili, S., Iaccarino, G. 2017; 39 (5): A1991-A2019

    View details for DOI 10.1137/15M1028303

    View details for Web of Science ID 000415797300063

  • UNCERTAINTY QUANTIFICATION IN LARGE EDDY SIMULATIONS OF A RICH-DOME AVIATION GAS TURBINE Masquelet, M., Van, J., Dord, A., Laskowski, G., Shunn, L., Jofre, L., Iaccarino, G., ASME AMER SOC MECHANICAL ENGINEERS. 2017

    View details for Web of Science ID 000412782400049

  • Eulerian formulation of the interacting particle representation model of homogeneous turbulence PHYSICAL REVIEW FLUIDS Campos, A., Duraisamy, K., Iaccarino, G. 2016; 1 (6)

    View details for DOI 10.1103/PhysRevFluids.1.064404

    View details for Web of Science ID 000390254900002

  • Convergence of the Bouguer-Beer law for radiation extinction in particulate media JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER Frankel, A., Iaccarino, G., Mani, A. 2016; 182: 45-54

    View details for DOI 10.1016/j.jqsrt.2016.05.009

    View details for Web of Science ID 000381321600005

  • A segregated explicit algebraic structure-based model for wall-bounded turbulent flows INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW Campos, A., Duraisamy, K., Iaccarino, G. 2016; 61: 284-297

    View details for DOI 10.1016/j.ijheatfluidflow.2016.05.002

    View details for Web of Science ID 000390734500004

  • Sensitivity of flow evolution on turbulence structure PHYSICAL REVIEW FLUIDS Mishra, A. A., Iaccarino, G., Duraisamy, K. 2016; 1 (5)

    View details for DOI 10.1103/PhysRevFluids.1.052402

    View details for Web of Science ID 000390235900002

  • A density-matching approach for optimization under uncertainty COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Seshadri, P., Constantine, P., Iaccarino, G., Parks, G. 2016; 305: 562-578

    View details for DOI 10.1016/j.cma.2016.03.006

    View details for Web of Science ID 000375330200025

  • High-order statistics in global sensitivity analysis: Decomposition and model reduction COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Geraci, G., Congedo, P. M., Abgrall, R., Iaccarino, G. 2016; 301: 80-115

    View details for DOI 10.1016/j.cma.2015.12.022

    View details for Web of Science ID 000369488300004

  • Large-Eddy Simulation of a Wing-Body Junction Flow AIAA JOURNAL Ryu, S., Emory, M., Iaccarino, G., Campos, A., Duraisamy, K. 2016; 54 (3): 793-804

    View details for DOI 10.2514/1.J054212

    View details for Web of Science ID 000375425800001

  • TOWARDS A FLEXIBLE IMMERSED BOUNDARY METHOD FOR FLUID/STRUCTURE INTERACTIONS IN TURBOMACHINERY APPLICATIONS Iaccarino, G., Lee, S., Kim, J., Ju, Y., ASME AMER SOC MECHANICAL ENGINEERS. 2016

    View details for Web of Science ID 000385461600003

  • UNCERTAINTY QUANTIFICATION IN TURBOMACHINERY SIMULATIONS Emory, M., Iaccarino, G., Laskowski, G. M., ASME AMER SOC MECHANICAL ENGINEERS. 2016

    View details for Web of Science ID 000387297500028

  • A BI-FIDELITY APPROACH FOR UNCERTAINTY QUANTIFICATION OF HEAT TRANSFER IN A RECTANGULAR RIBBED CHANNEL Doostan, A., Geraci, G., Iaccarino, G., ASME AMER SOC MECHANICAL ENGINEERS. 2016

    View details for Web of Science ID 000387297500084

  • A Novel Weakly-Intrusive Non-linear Multiresolution Framework for Uncertainty Quantification in Hyperbolic Partial Differential Equations JOURNAL OF SCIENTIFIC COMPUTING Geraci, G., Congedo, P. M., Abgrall, R., Iaccarino, G. 2016; 66 (1): 358-405

    View details for DOI 10.1007/s10915-015-0026-3

    View details for Web of Science ID 000368167500016

  • A comparison of laminar-turbulent boundary-layer transitions induced by deterministic and random oblique waves at Mach 3 INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW Ryu, S., Marxen, O., Iaccarino, G. 2015; 56: 218-232

    View details for DOI 10.1016/j.ijheatfluidflow.2015.07.024

    View details for Web of Science ID 000366961900019

  • Exploiting active subspaces to quantify uncertainty in the numerical simulation of the HyShot II scramjet JOURNAL OF COMPUTATIONAL PHYSICS Constantine, P. G., Emory, M., Larsson, J., Iaccarino, G. 2015; 302: 1-20

    View details for DOI 10.1016/j.jcp.2015.09.001

    View details for Web of Science ID 000364256100001

  • Reusing Chebyshev points for polynomial interpolation NUMERICAL ALGORITHMS Ghili, S., Iaccarino, G. 2015; 70 (2): 249-267

    View details for DOI 10.1007/s11075-014-9945-6

    View details for Web of Science ID 000361819600002

  • Quantifying inflow and RANS turbulence model form uncertainties for wind engineering flows JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS Gorle, C., Garcia-Sanchez, C., Iaccarino, G. 2015; 144: 202-212

    View details for DOI 10.1016/j.jweia.2015.03.025

    View details for Web of Science ID 000360874900023

  • An adaptive multiresolution semi-intrusive scheme for UQ in compressible fluid problems INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS Abgrall, R., Congedo, P. M., Geraci, G., Iaccarino, G. 2015; 78 (10): 595-637

    View details for DOI 10.1002/fld.4030

    View details for Web of Science ID 000357463700001

  • Uncertainty Quantification for the Trailing-Edge Noise of a Controlled-Diffusion Airfoil AIAA JOURNAL CHRISTOPHE, J., Moreau, S., Hamman, C. W., Witteveen, J. A., Iaccarino, G. 2015; 53 (1): 42-54

    View details for DOI 10.2514/1.J051696

    View details for Web of Science ID 000349558100004

  • Reliability-Based Design Optimization with the Generalized Inverse Distribution Function Quagliarella, D., Petrone, G., Iaccarino, G., Greiner, D., Galvan, B., Periaux, J., Gauger, N., Giannakoglou, K., Winter, G. SPRINGER-VERLAG BERLIN. 2015: 77-92

    View details for DOI 10.1007/978-3-319-11541-2_5

    View details for Web of Science ID 000357796800005

  • Multi-objective Design Optimization Using High-Order Statistics for CFD Applications Congedo, P. M., Geraci, G., Abgrall, R., Iaccarino, G., Greiner, D., Galvan, B., Periaux, J., Gauger, N., Giannakoglou, K., Winter, G. SPRINGER-VERLAG BERLIN. 2015: 111-126

    View details for DOI 10.1007/978-3-319-11541-2_7

    View details for Web of Science ID 000357796800007

  • Polynomial Chaos Methods for Hyperbolic Partial Differential Equations Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties Preface POLYNOMIAL CHAOS METHODS FOR HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS: NUMERICAL TECHNIQUES FOR FLUID DYNAMICS PROBLEMS IN THE PRESENCE OF UNCERTAINTIES Pettersson, M., Iaccarino, G., Nordstrom, J., Pettersson, M., Iaccarino, G., Nordstrom, J. 2015: V-VI

    View details for Web of Science ID 000372656800001

  • Polynomial Chaos Methods for Hyperbolic Partial Differential Equations Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties Introduction POLYNOMIAL CHAOS METHODS FOR HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS: NUMERICAL TECHNIQUES FOR FLUID DYNAMICS PROBLEMS IN THE PRESENCE OF UNCERTAINTIES Pettersson, M., Iaccarino, G., Nordstrom, J., Pettersson, M., Iaccarino, G., Nordstrom, J. 2015: 3-9

    View details for DOI 10.1007/978-3-319-10714-1_1

    View details for Web of Science ID 000372656800002

  • Random Field Representation POLYNOMIAL CHAOS METHODS FOR HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS: NUMERICAL TECHNIQUES FOR FLUID DYNAMICS PROBLEMS IN THE PRESENCE OF UNCERTAINTIES Pettersson, M., Iaccarino, G., Nordstrom, J., Pettersson, M., Iaccarino, G., Nordstrom, J. 2015: 11-21

    View details for DOI 10.1007/978-3-319-10714-1_2

    View details for Web of Science ID 000372656800003

  • Polynomial Chaos Methods POLYNOMIAL CHAOS METHODS FOR HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS: NUMERICAL TECHNIQUES FOR FLUID DYNAMICS PROBLEMS IN THE PRESENCE OF UNCERTAINTIES Pettersson, M., Iaccarino, G., Nordstrom, J., Pettersson, M., Iaccarino, G., Nordstrom, J. 2015: 23-29

    View details for DOI 10.1007/978-3-319-10714-1_3

    View details for Web of Science ID 000372656800004

  • Numerical Solution of Hyperbolic Problems POLYNOMIAL CHAOS METHODS FOR HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS: NUMERICAL TECHNIQUES FOR FLUID DYNAMICS PROBLEMS IN THE PRESENCE OF UNCERTAINTIES Pettersson, M., Iaccarino, G., Nordstrom, J., Pettersson, M., Iaccarino, G., Nordstrom, J. 2015: 31-44

    View details for DOI 10.1007/978-3-319-10714-1_4

    View details for Web of Science ID 000372656800005

  • Nonlinear Transport Under Uncertainty POLYNOMIAL CHAOS METHODS FOR HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS: NUMERICAL TECHNIQUES FOR FLUID DYNAMICS PROBLEMS IN THE PRESENCE OF UNCERTAINTIES Pettersson, M., Iaccarino, G., Nordstrom, J., Pettersson, M., Iaccarino, G., Nordstrom, J. 2015: 81-109

    View details for DOI 10.1007/978-3-319-10714-1_6

    View details for Web of Science ID 000372656800007

  • Boundary Conditions and Data POLYNOMIAL CHAOS METHODS FOR HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS: NUMERICAL TECHNIQUES FOR FLUID DYNAMICS PROBLEMS IN THE PRESENCE OF UNCERTAINTIES Pettersson, M., Iaccarino, G., Nordstrom, J., Pettersson, M., Iaccarino, G., Nordstrom, J. 2015: 111-121

    View details for DOI 10.1007/978-3-319-10714-1_7

    View details for Web of Science ID 000372656800008

  • gPC for the Euler Equations POLYNOMIAL CHAOS METHODS FOR HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS: NUMERICAL TECHNIQUES FOR FLUID DYNAMICS PROBLEMS IN THE PRESENCE OF UNCERTAINTIES Pettersson, M., Iaccarino, G., Nordstrom, J., Pettersson, M., Iaccarino, G., Nordstrom, J. 2015: 125-148

    View details for DOI 10.1007/978-3-319-10714-1_8

    View details for Web of Science ID 000372656800009

  • A Hybrid Scheme for Two-Phase Flow POLYNOMIAL CHAOS METHODS FOR HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS: NUMERICAL TECHNIQUES FOR FLUID DYNAMICS PROBLEMS IN THE PRESENCE OF UNCERTAINTIES Pettersson, M., Iaccarino, G., Nordstrom, J., Pettersson, M., Iaccarino, G., Nordstrom, J. 2015: 149-172

    View details for DOI 10.1007/978-3-319-10714-1_9

    View details for Web of Science ID 000372656800010

  • Linear Transport Under Uncertainty POLYNOMIAL CHAOS METHODS FOR HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS: NUMERICAL TECHNIQUES FOR FLUID DYNAMICS PROBLEMS IN THE PRESENCE OF UNCERTAINTIES Pettersson, M., Iaccarino, G., Nordstrom, J., Pettersson, M., Iaccarino, G., Nordstrom, J. 2015: 47-80

    View details for DOI 10.1007/978-3-319-10714-1_5

    View details for Web of Science ID 000372656800006

  • Direct numerical simulations of hypersonic boundary-layer transition with finite-rate chemistry JOURNAL OF FLUID MECHANICS Marxen, O., Iaccarino, G., Magin, T. E. 2014; 755

    View details for DOI 10.1017/jfm.2014.344

    View details for Web of Science ID 000341128600009

  • Nonlinear instability of a supersonic boundary layer with two-dimensional roughness JOURNAL OF FLUID MECHANICS Marxen, O., Iaccarino, G., Shaqfeh, E. S. 2014; 752: 497-520

    View details for DOI 10.1017/jfm.2014.266

    View details for Web of Science ID 000339273300026

  • A subgrid-scale eddy-viscosity model based on the volumetric strain-stretching PHYSICS OF FLUIDS Ryu, S., Iaccarino, G. 2014; 26 (6)

    View details for DOI 10.1063/1.4882880

    View details for Web of Science ID 000341175200031

  • The deviation from parallel shear flow as an indicator of linear eddy-viscosity model inaccuracy PHYSICS OF FLUIDS Gorle, C., Larsson, J., EMORY, M., Iaccarino, G. 2014; 26 (5)

    View details for DOI 10.1063/1.4876577

    View details for Web of Science ID 000337103900002

  • A matching pursuit approach to solenoidal filtering of three-dimensional velocity measurements JOURNAL OF COMPUTATIONAL PHYSICS Schiavazzi, D., Coletti, F., Iaccarino, G., Eaton, J. K. 2014; 263: 206-221

    View details for DOI 10.1016/j.jcp.2013.12.049

    View details for Web of Science ID 000331716900012

  • Local shear and mass transfer on individual coral colonies: Computations in unidirectional and wave-driven flows JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS Chang, S., Iaccarino, G., Ham, F., Elkins, C., Monismith, S. 2014; 119 (4): 2599-2619

    View details for DOI 10.1002/2013JC009751

    View details for Web of Science ID 000336213200027

  • Simulations of High Reynolds Number Air Flow Over the NACA-0012 Airfoil Using the Immersed Boundary Method JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME Johnson, J. P., Iaccarino, G., Chen, K., Khalighi, B. 2014; 136 (4)

    View details for DOI 10.1115/1.4026475

    View details for Web of Science ID 000333101200002

  • A stochastic Galerkin method for the Euler equations with Roe variable transformation JOURNAL OF COMPUTATIONAL PHYSICS Pettersson, P., Iaccarino, G., Nordstrom, J. 2014; 257: 481-500

    View details for DOI 10.1016/j.jcp.2013.10.011

    View details for Web of Science ID 000327483200023

  • SPARSE MULTIRESOLUTION REGRESSION FOR UNCERTAINTY PROPAGATION INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION Schiavazzi, D., Doostan, A., Iaccarino, G. 2014; 4 (4): 303-331

    View details for DOI 10.1615/Int.J.UncertaintyQuantification.2014010147

    View details for Web of Science ID 000343420400002

  • Subsampled Gauss Quadrature Nodes for Estimating Polynomial Chaos Expansions SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION Tang, G., Iaccarino, G. 2014; 2 (1): 423-443

    View details for DOI 10.1137/130913511

    View details for Web of Science ID 000421346900018

  • Flow past a transversely rotating sphere at Reynolds numbers above the laminar regime JOURNAL OF FLUID MECHANICS Poon, E. K., Ooi, A. S., Giacobello, M., Iaccarino, G., Chung, D. 2014; 759

    View details for DOI 10.1017/jfm.2014.570

    View details for Web of Science ID 000344654200031

  • Uncertainty-quantification analysis of the effects of residual impurities on hydrogen-oxygen ignition in shock tubes COMBUSTION AND FLAME Urzay, J., Kseib, N., Davidson, D. F., Iaccarino, G., Hanson, R. K. 2014; 161 (1): 1-15

    View details for DOI 10.1016/j.combustflame.2013.08.012

    View details for Web of Science ID 000327419300001

  • A method for the direct numerical simulation of hypersonic boundary-layer instability with finite-rate chemistry JOURNAL OF COMPUTATIONAL PHYSICS Marxen, O., Magin, T. E., Shaqfeh, E. S., Iaccarino, G. 2013; 255: 572-589

    View details for DOI 10.1016/j.jcp.2013.07.029

    View details for Web of Science ID 000325527100031

  • An intrusive hybrid method for discontinuous two-phase flow under uncertainty COMPUTERS & FLUIDS Pettersson, P., Iaccarino, G., Nordstrom, J. 2013; 86: 228-239

    View details for DOI 10.1016/j.compfluid.2013.07.009

    View details for Web of Science ID 000325834300021

  • The effect of shear thinning and walls on the sedimentation of a sphere in an elastic fluid under orthogonal shear JOURNAL OF NON-NEWTONIAN FLUID MECHANICS Padhy, S., Rodriguez, M., Shaqfeh, E. S., Iaccarino, G., Morris, J. F., Tonmukayakul, N. 2013; 201: 120-129

    View details for DOI 10.1016/j.jnnfm.2013.07.007

    View details for Web of Science ID 000326560600011

  • Modeling of structural uncertainties in Reynolds-averaged Navier-Stokes closures (vol 25, 110822, 2013) PHYSICS OF FLUIDS Emory, M., Larsson, J., Iaccarino, G. 2013; 25 (11)

    View details for DOI 10.1063/1.4830217

    View details for Web of Science ID 000329184100069

  • Modeling of structural uncertainties in Reynolds-averaged Navier-Stokes closures PHYSICS OF FLUIDS Emory, M., Larsson, J., Iaccarino, G. 2013; 25 (11)

    View details for DOI 10.1063/1.4824659

    View details for Web of Science ID 000329184100023

  • Subcell resolution in simplex stochastic collocation for spatial discontinuities JOURNAL OF COMPUTATIONAL PHYSICS Witteveen, J. A., Iaccarino, G. 2013; 251: 17-52

    View details for DOI 10.1016/j.jcp.2013.05.035

    View details for Web of Science ID 000322633000002

  • Numerical analysis and modeling of plume meandering in passive scalar dispersion downstream of a wall-mounted cube 7th International Symposium on Turbulence Heat and Mass Transfer (THMT) Rossi, R., Iaccarino, G. ELSEVIER SCIENCE INC. 2013: 137–148

    View details for DOI 10.1016/j.ijheatfluidflow.2013.04.006

    View details for Web of Science ID 000328660000014

  • A simplex-based numerical framework for simple and efficient robust design optimization COMPUTATIONAL OPTIMIZATION AND APPLICATIONS Congedo, P. M., Witteveen, J., Iaccarino, G. 2013; 56 (1): 231-251

    View details for DOI 10.1007/s10589-013-9569-0

    View details for Web of Science ID 000321590500011

  • Non-intrusive low-rank separated approximation of high-dimensional stochastic models COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Doostan, A., Validi, A., Iaccarino, G. 2013; 263: 42-55

    View details for DOI 10.1016/j.cma.2013.04.003

    View details for Web of Science ID 000322557600005

  • Simulations of a sphere sedimenting in a viscoelastic fluid with cross shear flow JOURNAL OF NON-NEWTONIAN FLUID MECHANICS Padhy, S., Shaqfeh, E. S., Iaccarino, G., Morris, J. F., Tonmukayakul, N. 2013; 197: 48-60

    View details for DOI 10.1016/j.jnnfm.2013.02.003

    View details for Web of Science ID 000319952900007

  • Assessment of Uncertainties in Modeling of Laminar to Turbulent Transition for Transonic Flows FLOW TURBULENCE AND COMBUSTION Pecnik, R., Witteveen, J. A., Iaccarino, G. 2013; 91 (1): 41-61

    View details for DOI 10.1007/s10494-013-9453-0

    View details for Web of Science ID 000320665000003

  • Quantification of margins and uncertainties using multiple gates and conditional probabilities RELIABILITY ENGINEERING & SYSTEM SAFETY Iaccarino, G., Sharp, D., Glimm, J. 2013; 114: 99-113

    View details for DOI 10.1016/j.ress.2012.11.026

    View details for Web of Science ID 000316923600011

  • Large-eddy simulation of passive scalar dispersion in an urban-like canopy JOURNAL OF FLUID MECHANICS Philips, D. A., Rossi, R., Iaccarino, G. 2013; 723: 404-428

    View details for DOI 10.1017/jfm.2013.135

    View details for Web of Science ID 000317659400016

  • A framework for epistemic uncertainty quantification of turbulent scalar flux models for Reynolds-averaged Navier-Stokes simulations PHYSICS OF FLUIDS Gorle, C., Iaccarino, G. 2013; 25 (5)

    View details for DOI 10.1063/1.4807067

    View details for Web of Science ID 000320001200043

  • Simplex stochastic collocation with ENO-type stencil selection for robust uncertainty quantification JOURNAL OF COMPUTATIONAL PHYSICS Witteveen, J. A., Iaccarino, G. 2013; 239: 1-21

    View details for DOI 10.1016/j.jcp.2012.12.030

    View details for Web of Science ID 000315709400001

  • A sparse multiresolution stochastic approximation for uncertainty quantification 8th International Conference on Scientific Computing and Applications Schiavazzi, D., Doostan, A., Iaccarino, G. AMER MATHEMATICAL SOC. 2013: 295–303

    View details for DOI 10.1090/conm/586/11634

    View details for Web of Science ID 000319240200031

  • Essentially Non-oscillatory Stencil Selection and Subcell Resolution in Uncertainty Quantification UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL FLUID DYNAMICS Witteveen, J. S., Iaccarino, G., Bijl, H., Lucor, D., Mishra, S., Schwab, C. 2013; 92: 295-333

    View details for DOI 10.1007/978-3-319-00885-1_7

    View details for Web of Science ID 000332623300008

  • Chemical kinetic uncertainty quantification for Large Eddy Simulation of turbulent nonpremixed combustion PROCEEDINGS OF THE COMBUSTION INSTITUTE Mueller, M. E., Iaccarino, G., Pitsch, H. 2013; 34: 1299-1306

    View details for DOI 10.1016/j.proci.2012.07.054

    View details for Web of Science ID 000313125400133

  • A probabilistic non-dominated sorting GA for optimization under uncertainty ENGINEERING COMPUTATIONS Petrone, G., Axerio-Cilies, J., Quagliarella, D., Iaccarino, G. 2013; 30 (8): 1054-1085

    View details for DOI 10.1108/EC-05-2012-0110

    View details for Web of Science ID 000327412700002

  • An Aerodynamic Investigation of an Isolated Rotating Formula 1 Wheel Assembly JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME Axerio-Cilies, J., Iaccarino, G. 2012; 134 (12)

    View details for DOI 10.1115/1.4007890

    View details for Web of Science ID 000314761300001

  • Reynolds-Averaged Navier-Stokes Simulations of the HyShot II Scramjet AIAA JOURNAL Pecnik, R., Terrapon, V. E., Ham, F., Iaccarino, G., Pitsch, H. 2012; 50 (8): 1717-1732

    View details for DOI 10.2514/1.J051473

    View details for Web of Science ID 000307325400006

  • Aerodynamic flow around a sport utility vehicle-Computational and experimental investigation JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS Khalighi, B., Jindal, S., Laccarino, G. 2012; 107: 140-148

    View details for DOI 10.1016/j.jweia.2012.04.009

    View details for Web of Science ID 000306881900013

  • Unsteady Aerodynamic Flow Investigation Around a Simplified Square-Back Road Vehicle With Drag Reduction Devices JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME Khalighi, B., Chen, K., Iaccarino, G. 2012; 134 (6)

    View details for DOI 10.1115/1.4006643

    View details for Web of Science ID 000305267600001

  • Risk Assessment of Scramjet Unstart Using Adjoint-Based Sampling Methods AIAA JOURNAL Wang, Q., Duraisamy, K., Alonso, J. J., Iaccarino, G. 2012; 50 (3): 581-592

    View details for DOI 10.2514/1.J051264

    View details for Web of Science ID 000301204700007

  • Effects of viscoelasticity in the high Reynolds number cylinder wake JOURNAL OF FLUID MECHANICS Richter, D., Iaccarino, G., Shaqfeh, E. S. 2012; 693: 297-318

    View details for DOI 10.1017/jfm.2011.531

    View details for Web of Science ID 000300022300012

  • An Aerodynamic Investigation of an Isolated Stationary Formula 1 Wheel Assembly JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME Axerio-Cilies, J., Issakhanian, E., Jimenez, J., Iaccarino, G. 2012; 134 (2)

    View details for DOI 10.1115/1.4005768

    View details for Web of Science ID 000302599000002

  • STUDY OF DRAG REDUCTION DEVICES FOR A SQUARE BACK VEHICLE CONFIGURATION USING RANS CFD SIMULATIONS ASME Fluids Engineering Division Summer Meeting (FEDSM) Khalighi, B., Chen, K., Iaccarino, G. AMER SOC MECHANICAL ENGINEERS. 2012: 1–8

    View details for Web of Science ID 000324506700001

  • Automotive Flow and Acoustic Predictions using Large Eddy Simulations INTERNATIONAL JOURNAL OF FLUID MECHANICS RESEARCH Khalighi, B., Iaccarino, G., Khalighi, Y. 2012; 39 (3): 272-289

    View details for DOI 10.1615/InterJFluidMechRes.v39.i3.50

    View details for Web of Science ID 000420495200005

  • FORWARD AND BACKWARD UNCERTAINTY PROPAGATION FOR DISCONTINUOUS SYSTEM RESPONSE USING THE PADE-LEGENDRE METHOD INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION Chantrasmi, T., Iaccarino, G. 2012; 2 (2): 125-143

    View details for DOI 10.1615/Int.J.UncertaintyQuantification.v212.40

    View details for Web of Science ID 000209100400004

  • SIMPLEX STOCHASTIC COLLOCATION WITH RANDOM SAMPLING AND EXTRAPOLATION FOR NONHYPERCUBE PROBABILITY SPACES SIAM JOURNAL ON SCIENTIFIC COMPUTING Witteveen, J. A., Iaccarino, G. 2012; 34 (2): A814-A838

    View details for DOI 10.1137/100817504

    View details for Web of Science ID 000303396000011

  • Backward uncertainty propagation method in flow problems: Application to the prediction of rarefaction shock waves COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Congedo, P. M., Colonna, P., Corre, C., Witteveen, J. A., Iaccarino, G. 2012; 213: 314-326

    View details for DOI 10.1016/j.cma.2011.12.009

    View details for Web of Science ID 000301553900024

  • REFINEMENT CRITERIA FOR SIMPLEX STOCHASTIC COLLOCATION WITH LOCAL EXTREMUM DIMINISHING ROBUSTNESS SIAM JOURNAL ON SCIENTIFIC COMPUTING Witteveen, J. A., Iaccarino, G. 2012; 34 (3): A1522-A1543

    View details for DOI 10.1137/100817498

    View details for Web of Science ID 000310474400012

  • Numerical Simulation of Polymer Injection in Turbulent Flow Past a Circular Cylinder JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME Richter, D., Shaqfeh, E. S., Iaccarino, G. 2011; 133 (10)

    View details for DOI 10.1115/1.4004960

    View details for Web of Science ID 000295623700014

  • The influence of normal stress anisotropy in predicting scalar dispersion with the v(2)-f model INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW Philips, D. A., Rossi, R., Iaccarino, G. 2011; 32 (5): 943-963

    View details for DOI 10.1016/j.ijheatfluidflow.2011.06.010

    View details for Web of Science ID 000295569200008

  • A QMU approach for characterizing the operability limits of air-breathing hypersonic vehicles RELIABILITY ENGINEERING & SYSTEM SAFETY Iaccarino, G., Pecnik, R., Glimm, J., Sharp, D. 2011; 96 (9): 1150-1160

    View details for DOI 10.1016/j.ress.2010.06.030

    View details for Web of Science ID 000293107900014

  • A high-order numerical method to study hypersonic boundary-layer instability including high-temperature gas effects PHYSICS OF FLUIDS Marxen, O., Magin, T., Iaccarino, G., Shaqfeh, E. S. 2011; 23 (8)

    View details for DOI 10.1063/1.3614526

    View details for Web of Science ID 000294483500027

  • Floquet stability analysis of viscoelastic flow over a cylinder 16th International Workshop on Numerical Methods for Non-Newtonian Flows Richter, D., Shagfeh, E. S., Iaccarino, G. ELSEVIER SCIENCE BV. 2011: 554–65

    View details for DOI 10.1016/j.jnnfm.2011.02.005

    View details for Web of Science ID 000291286700004

  • A FACTORIZATION OF THE SPECTRAL GALERKIN SYSTEM FOR PARAMETERIZED MATRIX EQUATIONS: DERIVATION AND APPLICATIONS SIAM JOURNAL ON SCIENTIFIC COMPUTING Constantine, P. G., Gleich, D. F., Iaccarino, G. 2011; 33 (5): 2995-3009

    View details for Web of Science ID 000296591200041

  • A numerical study of scalar dispersion downstream of a wall-mounted cube using direct simulations and algebraic flux models INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW Rossi, R., Philips, D. A., Iaccarino, G. 2010; 31 (5): 805-819

    View details for DOI 10.1016/j.ijheatfluidflow.2010.05.006

    View details for Web of Science ID 000281918600008

  • A co-located incompressible Navier-Stokes solver with exact mass, momentum and kinetic energy conservation in the inviscid limit JOURNAL OF COMPUTATIONAL PHYSICS Shashank, Larsson, J., Iaccarino, G. 2010; 229 (12): 4425-4430

    View details for DOI 10.1016/j.jcp.2010.03.010

    View details for Web of Science ID 000277944400001

  • Simulations of three-dimensional viscoelastic flows past a circular cylinder at moderate Reynolds numbers JOURNAL OF FLUID MECHANICS Richter, D., Iaccarino, G., Shaqfeh, E. S. 2010; 651: 415-442

    View details for DOI 10.1017/S0022112009994083

    View details for Web of Science ID 000278212600017

  • Disturbance evolution in a Mach 4.8 boundary layer with two-dimensional roughness-induced separation and shock JOURNAL OF FLUID MECHANICS Marxen, O., Iaccarino, G., Shaqfeh, E. S. 2010; 648: 435-469

    View details for DOI 10.1017/S0022112009992758

    View details for Web of Science ID 000277255000018

  • Reynolds-averaged modeling of polymer drag reduction in turbulent flows JOURNAL OF NON-NEWTONIAN FLUID MECHANICS Iaccarino, G., Shaqfeh, E. S., Dubief, Y. 2010; 165 (7-8): 376-384

    View details for DOI 10.1016/j.jnnfm.2010.01.013

    View details for Web of Science ID 000276285000006

  • BOUNDARY PROCEDURES FOR THE TIME-DEPENDENT BURGERS' EQUATION UNDER UNCERTAINTY ACTA MATHEMATICA SCIENTIA Pettersson, P., Nordstrom, J., Iaccarino, G. 2010; 30 (2): 539-550

    View details for Web of Science ID 000276112800009

  • A RATIONAL INTERPOLATION SCHEME WITH SUPERPOLYNOMIAL RATE OF CONVERGENCE SIAM JOURNAL ON NUMERICAL ANALYSIS Wang, Q., Moin, P., Iaccarino, G. 2010; 47 (6): 4073-4097

    View details for DOI 10.1137/080741574

    View details for Web of Science ID 000277836100003

  • Efficiency of Shock Capturing Schemes for Burgers' Equation with Boundary Uncertainty Pettersson, P., Abbas, Q., Iaccarino, G., Nordstrom, J., Kreiss, G., Lotstedt, P., Malqvist, A., Neytcheva, M. SPRINGER-VERLAG BERLIN. 2010: 737-745

    View details for DOI 10.1007/978-3-642-11795-4_79

    View details for Web of Science ID 000395207900079

  • SPECTRAL METHODS FOR PARAMETERIZED MATRIX EQUATIONS SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS Constantine, P. G., Gleich, D. F., Iaccarino, G. 2010; 31 (5): 2681-2699

    View details for DOI 10.1137/090755965

    View details for Web of Science ID 000285933400021

  • Linear and non-linear disturbance evolution in a compressible boundary-layer with localized roughness 7th IUTAM Symposium on Laminar-Turbulent Transition Marxen, O., Iaccarino, G., Shaqfeh, E. S. SPRINGER. 2010: 271–276

    View details for DOI 10.1007/978-90-481-3723-7_43

    View details for Web of Science ID 000277097200043

  • Numerical analysis of the Burgers' equation in the presence of uncertainty JOURNAL OF COMPUTATIONAL PHYSICS Pettersson, P., Iaccarino, G., Nordstrom, J. 2009; 228 (22): 8394-8412

    View details for DOI 10.1016/j.jcp.2009.08.012

    View details for Web of Science ID 000271342600011

  • Stable Boundary Treatment for the Wave Equation on Second-Order Form JOURNAL OF SCIENTIFIC COMPUTING Mattsson, K., Ham, F., Iaccarino, G. 2009; 41 (3): 366-383

    View details for DOI 10.1007/s10915-009-9305-1

    View details for Web of Science ID 000271272300003

  • A hybrid collocation/Galerkin scheme for convective heat transfer problems with stochastic boundary conditions INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Constantine, P. G., Doostan, A., Iaccarino, G. 2009; 80 (6-7): 868-880

    View details for DOI 10.1002/nme.2564

    View details for Web of Science ID 000271559400010

  • Pade-Legendre approximants for uncertainty analysis with discontinuous response surfaces JOURNAL OF COMPUTATIONAL PHYSICS Chantrasmi, T., Doostan, A., Iaccarino, G. 2009; 228 (19): 7159-7180

    View details for DOI 10.1016/j.jcp.2009.06.024

    View details for Web of Science ID 000269582300003

  • Prediction of wall-pressure fluctuation in turbulent flows with an immersed boundary method JOURNAL OF COMPUTATIONAL PHYSICS Kang, S., Iaccarino, G., Ham, F., Moin, P. 2009; 228 (18): 6753-6772

    View details for DOI 10.1016/j.jcp.2009.05.036

    View details for Web of Science ID 000269375000007

  • On the HLLC Riemann solver for interface interaction in compressible multi-fluid flow JOURNAL OF COMPUTATIONAL PHYSICS Hu, X. Y., Adams, N. A., Iaccarino, G. 2009; 228 (17): 6572-6589

    View details for DOI 10.1016/j.jcp.2009.06.002

    View details for Web of Science ID 000268898200028

  • Accurate Immersed-Boundary Reconstructions for Viscous Flow Simulations AIAA JOURNAL Kang, S., Iaccarino, G., Moin, P. 2009; 47 (7): 1750-1760

    View details for DOI 10.2514/1.42187

    View details for Web of Science ID 000267676100017

  • A least-squares approximation of partial differential equations with high-dimensional random inputs JOURNAL OF COMPUTATIONAL PHYSICS Doostan, A., Iaccarino, G. 2009; 228 (12): 4332-4345

    View details for DOI 10.1016/j.jcp.2009.03.006

    View details for Web of Science ID 000266506400004

  • DNS of buoyancy-dominated turbulent flows on a bluff body using the immersed boundary method JOURNAL OF COMPUTATIONAL PHYSICS Kang, S., Iaccarino, G., Ham, F. 2009; 228 (9): 3189-3208

    View details for DOI 10.1016/j.jcp.2008.12.037

    View details for Web of Science ID 000265059100003

  • Numerical simulation of scalar dispersion downstream of a square obstacle using gradient-transport type models ATMOSPHERIC ENVIRONMENT Rossi, R., Iaccarino, G. 2009; 43 (16): 2518-2531

    View details for DOI 10.1016/j.atmosenv.2009.02.044

    View details for Web of Science ID 000266273300002

  • A hybrid method for unsteady inviscid fluid flow COMPUTERS & FLUIDS Nordstrom, J., Ham, F., Shoeybi, M., van der Weide, E., Svard, M., Mattsson, K., Laccarino, G., Gong, J. 2009; 38 (4): 875-882

    View details for DOI 10.1016/j.compfluid.2008.09.010

    View details for Web of Science ID 000264305000014

  • Computational aspects of scalar dispersion modeling and simulation in complex flows Conference on Scientific Computation in Physics Rossi, R., Iaccarino, G. SOC ITALIANA FISICA. 2009: 257–60

    View details for DOI 10.1393/ncc/i2009-10405-9

    View details for Web of Science ID 000273305000052

  • MINIMAL REPETITION DYNAMIC CHECKPOINTING ALGORITHM FOR UNSTEADY ADJOINT CALCULATION SIAM JOURNAL ON SCIENTIFIC COMPUTING Wang, Q., Moin, P., Iaccarino, G. 2009; 31 (4): 2549-2567

    View details for DOI 10.1137/080727890

    View details for Web of Science ID 000268859500007

  • Numerical simulation of scalar dispersion in separated flows using algebraic flux models 6th International Symposium on Turbulence, Heat and Mass Transfer Rossi, R., Philips, D. A., Iaccarino, G. BEGELL HOUSE, INC. 2009: 413–416

    View details for Web of Science ID 000312877800087

  • LES prediction of wall-pressure fluctuations and noise of a low-speed airfoil INTERNATIONAL JOURNAL OF AEROACOUSTICS Wang, M., Moreau, S., Iaccarino, G., Rogers, M. 2009; 8 (3): 177-197

    View details for Web of Science ID 000280098800001

  • Stable and accurate wave-propagation in discontinuous media JOURNAL OF COMPUTATIONAL PHYSICS Mattsson, K., Ham, F., Iaccarino, G. 2008; 227 (19): 8753-8767

    View details for DOI 10.1016/j.jcp.2008.06.023

    View details for Web of Science ID 000259753700017

  • An immersed boundary method for compressible flows using local grid refinement JOURNAL OF COMPUTATIONAL PHYSICS de Tullio, M. D., De Palma, P., Iaccarino, G., Pascazio, G., Napolitano, M. 2007; 225 (2): 2098-2117

    View details for DOI 10.1016/j.jcp.2007.03.008

    View details for Web of Science ID 000255304500045

  • LES on Cartesian grids with anisotropic refinement Symposium on Complex Effects in Large Eddy Simulation Iaccarino, G., Ham, F. SPRINGER. 2007: 219-?

    View details for Web of Science ID 000244562300016

  • Towards time-stable and accurate LES on unstructured grids Symposium on Complex Effects in Large Eddy Simulation Ham, F., Mattsson, K., Iaccarino, G., Moin, P. SPRINGER. 2007: 235-?

    View details for Web of Science ID 000244562300017

  • Complex effects in large eddy simulations Symposium on Complex Effects in Large Eddy Simulation Moin, P., Iaccarino, G. SPRINGER. 2007: 1-?

    View details for Web of Science ID 000244562300001

  • Towards rapid analysis of turbulent flows in complex internal passages 6th International Symposium on Engineering Turbulence Modelling and Measurements (ETMM6) Iaccarino, G., Elkins, C. J. SPRINGER. 2006: 27–39

    View details for DOI 10.1007/s10494-006-9035-5

    View details for Web of Science ID 000241258600003

  • Natural and forced conjugate heat transfer in complex geometries on Cartesian adapted grids JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME Iaccarino, G., Moreau, S. 2006; 128 (4): 838-846

    View details for DOI 10.1115/1.2201625

    View details for Web of Science ID 000239418300021

  • Large-eddy simulation of reacting turbulent flows in complex geometries 4th ASME/JSME Joint Fluids Engineering Conference Mahesh, K., Constantinescu, G., Apte, S., Iaccarino, G., Ham, F., Moin, P. ASME. 2006: 374–81

    View details for DOI 10.1115/1.2179098

    View details for Web of Science ID 000237675800005

  • Computational study on the internal layer in a diffuser JOURNAL OF FLUID MECHANICS Wu, X. H., Schluter, J., Moin, P., Pitsch, H., Iaccarino, G., Ham, F. 2006; 550: 391-412

    View details for DOI 10.1017/S0022112005008116

    View details for Web of Science ID 000236195700020

  • Near-wall behavior of RANS turbulence models and implications for wall functions JOURNAL OF COMPUTATIONAL PHYSICS Kalitzin, G., Medic, G., Iaccarino, G., Durbin, P. 2005; 204 (1): 265-291

    View details for DOI 10.1016/j.jcp.2004.10.018

    View details for Web of Science ID 000227733600013

  • Rapid techniques for measuring and modeling turbulent flows in complex geometries 6th International Symposium on Engineering Turbulence Modelling and Measurements (ETMM6) Iaccarino, G., Elkins, C. J. ELSEVIER SCIENCE BV. 2005: 3–16

    View details for Web of Science ID 000233989100001

  • Immersed boundary methods ANNUAL REVIEW OF FLUID MECHANICS Mittal, R., Iaccarino, G. 2005; 37: 239-261

    View details for DOI 10.1146/annurev.fluid.37.061903.175743

    View details for Web of Science ID 000226822300011

  • Numerical simulation of the flow around a circular cylinder at high Reynolds numbers 5th International Symposium on Engineering Turbulence Modelling and Measurements Catalano, P., Wang, M., Iaccarino, G., Moin, P. ELSEVIER SCIENCE INC. 2003: 463–69

    View details for DOI 10.1016/S0142-727X(03)00061-4

    View details for Web of Science ID 000183511800006

  • Reynolds averaged simulation of unsteady separated flow INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW Iaccarino, G., Ooi, A., Durbin, P. A., Behnia, M. 2003; 24 (2): 147-156

    View details for DOI 10.1016/S0142-727X(02)00210-2

    View details for Web of Science ID 000181820200001

  • Large eddy simulation of a road vehicle with drag-reduction devices AIAA JOURNAL Verzicco, R., Fatica, M., Iaccarino, G., Moin, P. 2002; 40 (12): 2447-2455

    View details for Web of Science ID 000179662000009

  • Reynolds averaged simulation of flow and heat transfer in ribbed ducts INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW Ooi, A., Iaccarino, G., Durbin, P. A., Behnia, M. 2002; 23 (6): 750-757

    View details for Web of Science ID 000179180700003

  • An approach to local refinement of structured grids JOURNAL OF COMPUTATIONAL PHYSICS Durbin, P. A., Iaccarino, G. 2002; 181 (2): 639-653

    View details for DOI 10.1006/jcph.2002.7147

    View details for Web of Science ID 000178141700013

  • Conjugate heat transfer predictions in two-dimensional ribbed passages 2nd International Symposium on Advances in Computational Heat Transfer Iaccarino, G., Ooi, A., Durbin, P. A., Behnia, M. ELSEVIER SCIENCE INC. 2002: 340–45

    View details for Web of Science ID 000176299600013

  • Numerical simulation of the flow around a circular cylinder at high Reynolds number 5th International Symposium on Engineering Turbulence Modelling and Measurements Catalano, P., Wang, M., Iaccarino, G., Moin, P. ELSEVIER SCIENCE BV. 2002: 657–665

    View details for Web of Science ID 000178612700062

  • Predictions of a turbulent separated flow using commercial CFD codes JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME Iaccarino, G. 2001; 123 (4): 819-828

    View details for Web of Science ID 000173027000011

  • Heat transfer predictions in ribbed ducts and cavities 2nd International Symposium on Advances in Computational Heat Transfer Iaccarino, G., Ooi, A., Behnia, M., Durbin, P. BEGELL HOUSE, INC. 2001: 607–614

    View details for Web of Science ID 000172068000065

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