Stanford University
Showing 1-10 of 45 Results
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Akash Ramdas
Postdoc Res Affiliate, Program-Homrich da Jornada, F.
Postdoc Res Affiliate, Stanford PULSE InstituteBioMy research focuses on the computational discovery of materials for electronic and energy device applications. I leverage both the physical insights provided by many-body perturbation theory–based methods and statistical inference from open materials databases using machine learning. In my research, I have demonstrated that a multi-objective optimization framework can identify experimentally viable sub-5 nm Cu interconnect alternatives, extracted theoretical insights into unconventional resistivity scaling in NbP from experimental data, significantly improved the accuracy of machine-learned interatomic potentials for moiré reconstructions, accelerated the optimization of catalytic process conditions, and identified materials with exceptionally high inductance at the atomic scale.
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Ashwin Rao
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioMy current research and teaching is in Machine Learning (specifically RL) with applications to Financial Markets and Retail businesses. My academic origins are in Algorithms Theory and Abstract Algebra. More details on my background are here: https://www.linkedin.com/in/ashwin2rao/
My Stanford Home Page: https://stanford.edu/~ashlearn
CME 241 ("RL for Finance"), which I teach each Winter quarter: http://cme241.stanford.edu
