Materials and Megabytes
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.
Podcasting since 2018 • 10 episodes
Materials and Megabytes
Latest Episodes
Paper Interview - Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models
We discuss the paper Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models with the author Prof. Heather J. Kulik.Papers discussed in this episode:(Main discussion) Duan, C....
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Season 3
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Episode 2
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22:58
Paper interview - Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data
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.Papers discussed in the episo...
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Season 3
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Episode 1
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23:55
Turab Lookman (Season 2, Ep.4)
Our guest on this episode is Dr. Turab Lookman from Los Alamos National Laboratory. The interview took place at the 2018 MRS Fall meeting.Relevant papers:Gubernatis, J. E.; Lookman, T., Machine Learning in Materials Desig...
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Season 2
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Episode 4
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18:59