The National Science Foundation (NSF) awarded a $273,291 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of California, Santa Barbara (UCSB) to develop computational tools that combine machine learning and scientific computing for the exploration and prediction of polymer systems. The goal is to accelerate the discovery of new materials and facilitate the design of polymers and polymer systems with desired properties. The 3-year project will provide a framework for expediting computationally costly problems across various scientific fields through the use of machine learning. This award will also support the interdisciplinary training of undergraduate and graduate students in this emerging field.
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