Materials and Megabytes

Materials and Megabytes


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Paper interview - Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data

September 14, 2019

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 episode:Cubuk, E. D.; Sendek, A. D.;

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Materials and Megabytes
By Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut
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 Materi
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