Scientists use machine learning to accelerate materials disc

Scientists at Argonne National Laboratory have recently demonstrated an automated process for identifying and exploring promising new materials by combining mac

Related Keywords

United States , America , Jianguo Wen , Rohit Batra , Sukriti Manna , Troy Loeffler , Pierre Darancet , Subramanian Sankaranarayanan , Henry Chan , Lawrence Berkeley , Duan Luo , Srilok Srinivasan , Laboratory Computing Resource Center At Argonne , Nature Communications , National Energy Research Scientific Computing , Scientific Computing Research , Los Alamos National Laboratories , Us Department Of Energy , Argonne Center , Nanoscale Science Research Centers , Office Of Basic Energy Sciences , Office Of Science , Argonne National Laboratory , Center At Lawrence Berkeley National Laboratory , National Nanotechnology Initiative , Nanoscale Materials , Argonne Leadership Computing Facility , Lawrence Berkeley National , Basic Energy Sciences , Artificial Intelligence , Machine Learning , Scientific User Facilities , Digital Twins , Laboratory Computing Resource Center , National Nanotechnology , Oak Ridge , Los Alamos National , Advanced Scientific Computing Research , Leadership Computing Facilities , National Laboratory , Newswise , Computing , Nvironment And Life Sciences Physical Engineering Center For Nanoscale Materials Nanoscience Technology Argonne Leadership Computing Facility Computational Science Chemistry Computer Machine Learning Scientific User Facilities , All Journal News , Engineering , Materials Science , Technology , Doe Science News Source ,