Materials and Megabytes
Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of ConnecticutExploring the development of machine learning for materials science, physics, and chemistry applications through conversation with researchers at the forefront of this growing interdisciplinary field. Brought to you in collaboration by the Stanford Materials Computation and Theory Group and Qian Yang's lab at the University of Connecticut.
| Publishes | Weekly | Episodes | 10 | Founded | 5 years ago |
|---|---|---|---|---|---|
| Categories | Natural SciencesEducationCoursesScience | ||||
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Latest Episodes
We discuss the paper Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models with the author Prof. Heather J. Kulik. more
We discuss the paper Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data with the authors Dr. Ekin Dogus Cubuk and Dr. Austin D. Sendek. more
Our guest on this episode is Dr. Turab Lookman from Los Alamos National Laboratory. The interview took place at the 2018 MRS Fall meeting. more
Our guest on this episode is Dr. Patrick Riley from Google Accelerated Science. more
Our guest for this episode is Prof. Dr. O. Anatole von Lilienfeld from the University of Basel. more
Our guest on this episode is Professor Gábor Csányi from the University of Cambridge. more
Our guest on this episode is Professor Evan J. Reed from Stanford University.
Our guest on this episode is Dr. Ekin Doğuş Çubuk from Google Brain.
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