Automated chemistry sets new pace for materials discovery | US Department of Energy Science News
DOE/Oak Ridge National Laboratory Researchers at the Department of Energy's Oak Ridge National Laboratory and the University of Tennessee are automating the search for new materials to advance solar energy technologies. A novel workflow published in ACS Energy Letters combines robotics and machine learning to study metal halide perovskites, or MHPs -- thin, lightweight, flexible materials with outstanding properties for harnessing light that can be used to make solar cells, energy-efficient lighting and sensors. "Our approach speeds exploration of perovskite materials, making it exponentiall...
Source: eurekalert.org