Machine learning-based simulation method supersedes traditional electronic structure simulation techniques
Researchers from the Center for Advanced Systems Understanding (CASUS) at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) in Görlitz, Germany, and Sandia National Laboratories in Albuquerque, New Mexico, U.S., have made significant progress in overcoming the limitations of traditional electronic structure simulation techniques. Their innovative approach, called Materials Learning Algorithms (MALA), utilizes machine learning to achieve high fidelity … Read more