Materials and Megabytes
By Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut
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Image by Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut
Category: Natural Sciences
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Subscribers: 4
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Episodes: 10
Description
Exploring 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.
| Episode | Date |
|---|---|
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Paper Interview - Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models
|
Jan 13, 2020 |
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Paper interview - Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data
|
Sep 14, 2019 |
|
Turab Lookman (Season 2, Ep.4)
|
Apr 09, 2019 |
|
Patrick Riley (Season 2, Ep. 3)
|
Feb 15, 2019 |
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O. Anatole von Lilienfeld (Season 2, Ep. 2)
|
Jan 25, 2019 |
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Gábor Csányi (Season 2, Ep. 1)
|
Jan 24, 2019 |
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Evan J. Reed (Season 1, Ep. 3)
|
Jul 03, 2018 |
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Ekin Dogus Cubuk (Season 1, Ep. 2)
|
Jul 02, 2018 |
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Kieron Burke (Season 1, Ep. 1)
|
Jul 01, 2018 |
|
Introduction (Season 1, Ep. 0)
|
Jun 30, 2018 |