Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut
Materials and Megabytes
Únete a destacados investigadores mientras discuten cómo el aprendizaje automático está transformando la ciencia de materiales, la física y la química, mostrando aplicaciones innovadoras y avances.
Paper Interview - Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models
S3 E2 • 23 mins • Jan 13, 2020
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Jan 13, 2020
Paper Interview - Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models
S3 E2 • 23 mins
Sep 14, 2019
Paper interview - Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data
S3 E1 • 24 mins
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