The APS Fellowship Program was created to recognize members who may have made advances in physics through original research and publication, or made significant innovative contributions in the application of physics to science and technology.
For pioneering work on applications of machine learning for automated delineation of materials phase diagrams, and for the development of novel physics-informed machine learning for closed-loop autonomous materials exploration and optimization.