The National Science Foundation (NSF) has awarded a $337,663 Project Grant under the Engineering program (CFDA 47.041) to the University of Oklahoma. The project, titled "Porous Materials as High Pressure Nano-Reactors: Machine Learning and Multi-Scale Simulation," proposes a novel approach to synthesizing materials and chemicals under high-pressure conditions using porous materials. The goal is to leverage the high pressures observed within adsorbed fluid or solid films on solid substrates to create more sustainable and economically viable high-pressure manufacturing processes. The project aims to develop a multiscale simulation framework enhanced by machine learning to predict the behavior of porous materials under extreme conditions, which could potentially revolutionize material synthesis and high-pressure manufacturing. The award supports research activities at the University of Oklahoma from August 1, 2024, through July 31, 2027.
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