School of Engineering
Showing 251-300 of 316 Results
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Austin Sendek
Adjunct Professor, Materials Science and Engineering
BioAustin Sendek is Adjunct Professor of Materials Science & Engineering at Stanford University. His research and teaching focuses broadly on harnessing the power of machine learning and A.I. to accelerate the design and discovery of new materials for decarbonizing the global economy. He serves as an advisor and collaborator on several initiatives at Stanford, spanning from fundamental materials science research to technology entrepreneurship mentoring. He is also the Founder and Chief Executive Officer of Aionics, Inc., a technology company dedicated to designing high performance batteries with A.I. and high performance compute (HPC)-based quantum mechanical simulation. He was included on the 2019 list of Forbes 30 Under 30 in Energy, and served as a Guest Lecturer in Mechanical Engineering at Columbia University in 2019 and 2020. He holds a B.S. in Applied Physics from UC Davis and a Ph.D. in Applied Physics from Stanford University.
Upcoming courses:
FALL 2023: Materials Science and Engineering 331: Computational materials science at the atomic scale. Introduction to computational materials science methods at the atomistic level, with an emphasis on quantum methods. A brief history of computational approaches is presented, with deep dives into the most impactful methods: density functional theory, tight-binding, empirical potentials, and machine learning-based property prediction. Computation of optical, electronic, phonon properties. Bulk materials, interfaces, nanostructures. Molecular dynamics. Prerequisites - undergraduate quantum mechanics. Experience writing code is preferred but not required.
Select publications:
AD Sendek, B Ransom, ED Cubuk, LA Pellouchoud, J Nanda, EJ Reed. Machine learning modeling for accelerated battery materials design in the small data regime. ACS Energy Materials 12, 2200553 (2022).
AD Sendek, Q Yang, ED Cubuk, KAN Duerloo, Y Cui, EJ Reed. Holistic computational structure screening of more than 12000 candidates for solid lithium-ion conductor materials. Energy & Environmental Science 10 (1), 306-320 (2017).
AD Sendek, ED Cubuk, ER Antoniuk, G Cheon, Y Cui, EJ Reed. Machine learning-assisted discovery of solid Li-ion conducting materials. Chemistry of Materials 31 (2), 342-352 (2018).
AD Sendek, G Cheon, M Pasta, EJ Reed. Quantifying the search for solid Li-ion electrolyte materials by anion: a data-driven perspective. The Journal of Physical Chemistry C 124 (15), 8067-8079 (2020).
AD Sendek, ER Antoniuk, ED Cubuk, B Ransom, BE Francisco, J Buettner-Garrett, Y Cui, EJ Reed. Combining Superionic Conduction and Favorable Decomposition Products in the Crystalline Lithium–Boron–Sulfur System: A New Mechanism for Stabilizing Solid Li-Ion Electrolytes. ACS Applied Materials & Interfaces 12 (34), 37957-37966 (2020).
J Xie, AD Sendek, ED Cubuk, X Zhang, Z Lu, Y Gong, T Wu, F Shi, W Liu, EJ Reed, Y Cui. Atomic Layer Deposition of Stable LiAlF4 Lithium Ion Conductive Interfacial Layer for Stable Cathode Cycling. ACS Nano 11 (7), 7019-7027 (2017).
B Ransom, N Zhao, AD Sendek, ED Cubuk, W Chueh, EJ Reed. Two low-expansion Li-ion cathode materials with promising multi-property performance. MRS Bulletin (2021).
ED Cubuk, AD Sendek, EJ Reed. Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data. The Journal of Chemical Physics 150 (21), 214701 (2019). -
Nicholas Siemons
Postdoctoral Scholar, Materials Science and Engineering
BioNicholas began his academic career by studying integrated Masters at University College, London. During this time he published his first article, "Multiple exciton generation in nanostructures for advanced photovoltaic cells" - a review of how to produce photovoltaics with greater than 100% internal efficiencies. Following this Nicholas began research into solar voltaics and organic batteries in the group of Prof. Jenny Nelson at Imperial College, London. During this time Nicholas developed his keen interest in how to relate the chemical design of polymers to their ability to function as battery electrode materials. To achieve this goal, Nicholas applies atomistic simulation methods to such polymer systems, and relates the simulated findings to experimental results, bridging the gap between chemistry and device properties. As well as linking molecular chemical design to device performance, Nicholas applies novel simulation and analysis methodologies to study these systems, including Molecular Dynamics, Density Functional Theory, Molecular Metadynamics and Network Analysis.
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Robert Sinclair
Charles M. Pigott Professor in the School of Engineering
BioUsing high-resolution transmission electron microscopy, Sinclair studies microelectronic, magnetic thin film microstructure and nanomaterials.
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Andrew Spakowitz
Tang Family Foundation Chair of the Department of Chemical Engineering, Professor of Chemical Engineering, of Materials Science and Engineering and, by courtesy, of Applied Physics
Current Research and Scholarly InterestsTheory and computation of biological processes and complex materials
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Chenxi Sui
Postdoctoral Scholar, Materials Science and Engineering
Current Research and Scholarly InterestsElectrochemistry, batteries, thermal science, artificial intelligence
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Yuri Suzuki
Stanley G. Wojcicki Professor, Professor of Applied Physics, and by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsHer interests are focused on novel ground states and functional properties in condensed matter systems synthesized via atomically precise thin film deposition techniques with a recent emphasis has been on highly correlated electronic systems:
• Emergent interfacial electronic & magnetic phenomena through complex oxide heteroepitaxy
• Low dimensional electron gas systems
• Spin current generation, propagation and control in complex oxide-based ferromagnets
• Multifunctional behavior in complex oxide thin films and heterostructures -
Mohammad Taghinejad
Postdoctoral Scholar, Materials Science and Engineering
BioMy Research Interests: Terahertz science and technology; Ultrafast optics and photonics; Photocarrier dynamics; Nonlinear optics; Nanophotonics and plasmonics; Optical data processing and communication; Sensing, metrology, and spectroscopy; Quantum materials; Quantum transport; Low-dimensional materials.
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Keiko Waki
Visiting Associate Professor, Materials Science and Engineering
BioKeiko Waki, as an associate professor of Tokyo Institute of Technology (TIT) in Japan, has worked extensively with her group on controlling the defects of carbon nanotubes and nano materials for integrating new materials into emerging technologies in the field of fuel cells and solar cells. Now, she is working with Prof. Dauskardt's group in Stanford Materials Science and Engineering on the plasma-assisted film processing for various device technologies as a visiting associate professor.
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Maritha Wang
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2020
BioMaritha Wang is a Ph.D. candidate in the Department of Materials Science and Engineering at Stanford University, advised by Prof. Eric Pop. She received her B.A. in Physics and B.S. in Chemistry with Honors from the University of Chicago in 2020. Her research focuses on elucidating the electronic transport properties of 2D materials using simulations towards next-generation electronics. She is a recipient of the NSF Graduate Research Fellowship and the Stanford Shoucheng Zhang Graduate Fellowship.
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Shan X. Wang
Leland T. Edwards Professor in the School of Engineering and Professor of Electrical Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsShan Wang was named the Leland T. Edwards Professor in the School of Engineering in 2018. He directs the Center for Magnetic Nanotechnology and is a leading expert in biosensors, information storage and spintronics. His research and inventions span across a variety of areas including magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.
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Yifan Wang
Postdoctoral Scholar, Materials Science and Engineering
Current Research and Scholarly InterestsClassification for the flow defects in metallic glass materials;
Molecular Dynamics Simulation for the Nano-indentation of Al-Mg alloy;
Spherical Harmonics Approach of the spherical elasticity problem; -
Yunzhi Peter Yang
Professor of Orthopaedic Surgery and, by courtesy, of Materials Science and Engineering and of Bioengineering
Current Research and Scholarly InterestsYang lab's research interests are in the areas of bio-inspired biomaterials, medical devices, and 3D printing approaches for re-creating a suitable microenvironment for cell growth and tissue regeneration for musculoskeletal disease diagnosis and treatment, including multiple tissue healing such as rotator cuff injury, orthopedic diseases such as osteoporosis and osteonecrosis, and orthopedic traumas such as massive bone and muscle injuries.
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Adrian Yao
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2023
Masters Student in Materials Science and Engineering, admitted Autumn 2022BioAdrian is the Founder and Team Lead of STEER which is focused on guiding “What to build” for the energy transition. STEER is a DOE-funded program that is a partnership between the SLAC-Stanford Battery Center and the Precourt Institute for Energy. The mission of STEER is to critically evaluate the techno-economics of emerging energy technologies with a technology-centric focus bridging supply- and demand-side insights to guide strategic investments, research directions, and policy agendas.
Prior to Stanford, Adrian spent 8 years in industry as the co-founder and CTO of a Li-ion battery startup, EnPower, Inc., which is now scaling a ~1 GWh/y cell manufacturing plant in Indianapolis, IN, spearheading the domestic production of advanced Li-ion cells. Adrian obtained his B.S. in Material Science & Engineering from Rice University in Houston, TX.
