Machine Learning Based Approaches to Accelerate Energy Materials

http://pubs.acs.org/journal/aelccp

Machine Learning Based Approaches to Accelerate Energy Materials Discovery and Optimization ologies to materials use cases.4 For one of the benchmarked use cases, DFT-calculated band gap data was used to supplement an experimental band gap data set. The model that used transfer learning achieved the same performance with