Publications
Found 4 results
Filters: Author is Kevin P Greenman [Clear All Filters]
“Automated patent extraction powers generative modeling in focused chemical spaces”, Digital Discovery, 2023.
, “Autonomous, multiproperty-driven molecular discovery: from predictions to measurements and back”, Science, vol. 382(6677), p. eadi1407, 2023.
, “Learning Matter: Materials Design with Machine Learning and Atomistic Simulations”, Accounts of Materials Research, 2022.
, “Multi-fidelity prediction of molecular optical peaks with deep learning”, Chemical Science, vol. 13(4), pp. 1152 - 1162, 2022.
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