CX-102047: Machine learning accelerates innovation in perovskite manufacturing scale-up

Award Number: DE-EE0009366
CX(s) Applied: A9, B3.6
Solar Energy Technologies Office
Location(s): MA
Office(s): Golden Field Office

The U.S. Department of Energy (DOE) is proposing to provide federal funding to the Massachusetts Institute of Technology (MIT) to use machine learning to develop a scalable manufacturing tool to fabricate and process perovskite solar cell films and devices. An open-air rapid spray plasma process (RSPP), which has already been established at Stanford University, would be used to fabricate solar cells. Information such as prior process recipes, physical knowledge, and qualitative evaluations would be incorporated into machine-learning algorithms in order to achieve a scaled-up RSPP.