
Materials and Megabytes
by Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut
January 14, 2020 2:00 am
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.
Recent Episodes
Paper Interview - Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models
5 years ago00:00/00:00Paper interview - Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data
5 years ago00:00/00:00Turab Lookman (Season 2, Ep.4)
6 years ago00:00/00:00Patrick Riley (Season 2, Ep. 3)
6 years ago00:00/00:00O. Anatole von Lilienfeld (Season 2, Ep. 2)
6 years ago00:00/00:00Gábor Csányi (Season 2, Ep. 1)
6 years ago00:00/00:00Evan J. Reed (Season 1, Ep. 3)
6 years ago00:00/00:00Ekin Dogus Cubuk (Season 1, Ep. 2)
6 years ago00:00/00:00Kieron Burke (Season 1, Ep. 1)
6 years ago00:00/00:00Introduction (Season 1, Ep. 0)
6 years ago00:00/00:00