Materials Science and Engineering
Showing 241-250 of 300 Results
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Samya Sen, Ph.D.
Postdoctoral Scholar, Materials Science and Engineering
Current Research and Scholarly InterestsSamya's research interests are primarily soft materials and complex fluids. He uses experimental techniques of fundamental rheology in conjunction with non-Newtonian fluid mechanics to model, characterize, design, and understand soft material behavior. The applications of his research range from yield-stress fluid design in consumer products, industrial materials, and wildfire suppression. His current research projects as a postdoctoral researcher with Prof. Appel is in the rheological of novel hydrogels for biomedical applications, including improved drug delivery. His focus is on developing transient, stimuli-responsive materials with tunable mechanical and mass transport properties which can be tuned in situ and in vitro for controlled drug-release profiles. He also works on mathematical modeling of mass transport, structural evolution, and constitutive behavior of polymeric and colloidal materials in the context of soft biomaterials.
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Austin Sendek
Adjunct Professor, Materials Science and Engineering
Hourly Speaker, Stanford Center for Professional DevelopmentBioAustin 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). -
Viktoryia Shautsova
Postdoctoral Scholar, Materials Science and Engineering
BioViktoryia is a Stanford Science Fellow with a background in physics, nanotechnology, and material science. Viktoryia received her bachelor’s degree in computer science from Belarus State University and a PhD in physics from Imperial College London, followed by a postdoc in material science at Oxford University. Viktoryia's passion lies in building the next generation of bioelectronic devices that interface with the brain and heart. At Stanford, Viktoryia is part of GLAM and Wu Tsai Neuroscience Institute, working with Nick Melosh, Bianxiao Cui and Mark Brongersma to develop novel nanoscale devices for label-free optical sensing of bioelectrical signals produced by neural and cardiac cells and nongenetic optical stimulation of neural activity.
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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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Bob Sinclair
Charles M. Pigott Professor in the School of Engineering
BioUsing high-resolution transmission electron microscopy, Sinclair studies microelectronic and magnetic thin film microstructure.
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Andrew Spakowitz
Tang Family Foundation Chair of the Department of Chemical Engineering, Professor of Chemical Engineering and of Materials Science and Engineering
Current Research and Scholarly InterestsTheory and computation of biological processes and complex materials
