Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut
Materials and Megabytes
Join leading researchers as they discuss how machine learning is transforming materials science, physics, and chemistry, showcasing innovative applications and breakthroughs.
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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Recent Episodes

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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