Inverse Bioproduct Design Through Machine Learning and Molecular Simulation
This work aims to identify performance advantaged bioproducts (PABPs) through computational property prediction. A major goal of this project is to guide targeted synthesis of polymers and small molecule materials to those that have the highest likelihood of performance advantages.
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