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 agoPaper interview - Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data
5 years agoTurab Lookman (Season 2, Ep.4)
6 years agoPatrick Riley (Season 2, Ep. 3)
6 years agoO. Anatole von Lilienfeld (Season 2, Ep. 2)
6 years agoGábor Csányi (Season 2, Ep. 1)
6 years agoEvan J. Reed (Season 1, Ep. 3)
6 years agoEkin Dogus Cubuk (Season 1, Ep. 2)
6 years agoKieron Burke (Season 1, Ep. 1)
6 years agoIntroduction (Season 1, Ep. 0)
6 years ago