Bio


I am a professor in Mechanical Engineering and Director of the Institute for Computational Mathematical Engineering (https://icme.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 the 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, design.

Administrative Appointments


  • Director, ICME Institute for Computational and Mathematical Engineering (2018 - Present)
  • Visiting Professor, Ecole Centrale Paris (2016 - 2016)
  • Director, Exascale Computaing 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


  • 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

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

2019-20 Courses


Stanford Advisees


All Publications


  • 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)
  • 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
  • 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)
  • 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

  • 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
  • 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
  • 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

  • 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)
  • 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)
  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
  • Fully resolved viscoelastic particulate simulations using unstructured grids JOURNAL OF COMPUTATIONAL PHYSICS Krishnan, S., Shaqfeh, E. S., Iaccarino, G. 2017; 338: 313-338
  • 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
  • Efficient control variates for uncertainty quantification of radiation transport JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER Frankel, A., Iaccarino, G. 2017; 189: 398-406
  • Eigenspace perturbations for uncertainty estimation of single-point turbulence closures PHYSICAL REVIEW FLUIDS Iaccarino, G., Mishra, A. A., Ghili, S. 2017; 2 (2)
  • 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
  • Eulerian formulation of the interacting particle representation model of homogeneous turbulence PHYSICAL REVIEW FLUIDS Campos, A., Duraisamy, K., Iaccarino, G. 2016; 1 (6)
  • 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
  • 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
  • Sensitivity of flow evolution on turbulence structure PHYSICAL REVIEW FLUIDS Mishra, A. A., Iaccarino, G., Duraisamy, K. 2016; 1 (5)
  • 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
  • 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
  • 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

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

  • 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
  • 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
  • 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
  • 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
  • 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
  • SPARSE MULTIRESOLUTION REGRESSION FOR UNCERTAINTY PROPAGATION INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION Schiavazzi, D., Doostan, A., Iaccarino, G. 2014; 4 (4): 303-331
  • 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
  • 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
  • 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
  • An intrusive hybrid method for discontinuous two-phase flow under uncertainty COMPUTERS & FLUIDS Pettersson, P., Iaccarino, G., Nordstrom, J. 2013; 86: 228-239
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
  • 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

  • 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

  • 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
  • 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
  • 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
  • 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
  • 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

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

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

  • Stable and accurate wave-propagation in discontinuous media JOURNAL OF COMPUTATIONAL PHYSICS Mattsson, K., Ham, F., Iaccarino, G. 2008; 227 (19): 8753-8767
  • 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
  • LES on Cartesian grids with anisotropic refinement Symposium on Complex Effects in Large Eddy Simulation Iaccarino, G., Ham, F. SPRINGER. 2007: 219-?
  • 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-?
  • Complex effects in large eddy simulations Symposium on Complex Effects in Large Eddy Simulation Moin, P., Iaccarino, G. SPRINGER. 2007: 1-?
  • 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
  • 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
  • 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
  • Immersed boundary methods ANNUAL REVIEW OF FLUID MECHANICS Mittal, R., Iaccarino, G. 2005; 37: 239-261
  • 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
  • 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
  • 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
  • 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
  • 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
  • An approach to local refinement of structured grids JOURNAL OF COMPUTATIONAL PHYSICS Durbin, P. A., Iaccarino, G. 2002; 181 (2): 639-653
  • 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
  • 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
  • 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
  • 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