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.

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Paper Interview - Learning from Failure: Predicting Electronic Structure Calculation Outcomes with Machine Learning Models

S3 E2 • 23 mins • Jan 13, 2020

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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