New technical paper titled "Recent advances and applications of deep learning methods in materials science" from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon University, Northwestern University, and Columbia University.
Abstract
"Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning...
» read more
