Kevin P. Greenman

Citation name

Greenman, K. P.

Affiliation

Massachusetts Institute of Technology

State

MA

Country

USA

Kevin is a Ph.D. Candidate in Chemical Engineering and Computation at MIT and is supervised by Rafael Gomez-Bombarelli and William Green. His research interests are in using the combination of atomistic simulations and machine learning with experimental collaboration for the discovery and design of new molecules and materials.

Authored

(51d) Designing and Synthesizing Novel Dye Molecules Using Generative Modeling and Data-Driven Synthesis Planning

Camille Bilodeau

Kevin P. Greenman

Rafael Gomez-Bombarelli

Klavs F. Jensen

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(364c) Transfer Learning for Prediction of Absorption and Emission Spectra from Multi-Fidelity Data

Kevin P. Greenman

Rafael Gomez-Bombarelli

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(88d) Design of an Automatic Platform for Machine-Learning Model Based Molecular Property Optimization

Matthew McDonald

Kevin P. Greenman

Charles J. McGill

Rafael Gomez-Bombarelli

Camille Bilodeau

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(197au) Multi-Fidelity Deep Learning for Data-Efficient Molecular Property Models from Experimental and Computational Data

Kevin P. Greenman

Rafael Gomez-Bombarelli

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

(2ge) Multi-Fidelity Computer-Aided Molecular Design

Kevin P. Greenman

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

Associated proceedings

2021 Annual Meeting

2022 Annual Meeting

2023 AIChE Annual Meeting