Polymer Informatics
Machine learning for polymer property prediction, high-throughput screening, and generative design, powered by experimental and computational data
Atomistic Modeling & Simulation
First-principles, classical, and machine-learned force field simulations to uncover molecular mechanisms, validate informatics-driven materials designs, and generate high-quality training data
Applications
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Energy materials
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Recyclable polymers
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Thermosets & Additive manufacturing
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Space Materials
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Membranes for separation
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Composites & Formulations