Michael A Webb
Affiliations: | Princeton University, Princeton, NJ |
Area:
Theory, computation, and design of soft materialsGoogle:
"Michael Webb"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Berend Smit | research assistant | 2011-2011 | UC Berkeley College of Chemistry |
| Thomas F. Miller | grad student | 2011-2016 | Caltech |
| Juan J. de Pablo | post-doc | 2016-2019 | Chicago |
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Publications
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| Patel RA, Webb MA. (2023) Data-Driven Design of Polymer-Based Biomaterials: High-throughput Simulation, Experimentation, and Machine Learning. Acs Applied Bio Materials |
| Tamasi MJ, Patel RA, Borca CH, et al. (2022) Machine Learning on a Robotic Platform for the Design of Polymer-Protein Hybrids. Advanced Materials (Deerfield Beach, Fla.). e2201809 |
| Kosuri S, Borca CH, Mugnier H, et al. (2022) Machine-Assisted Discovery of Chondroitinase ABC Complexes toward Sustained Neural Regeneration. Advanced Healthcare Materials. e2102101 |
| Sharon D, Bennington P, Webb MA, et al. (2021) Molecular Level Differences in Ionic Solvation and Transport Behavior in Ethylene Oxide-Based Homopolymer and Block Copolymer Electrolytes. Journal of the American Chemical Society |
| Webb MA, Jackson NE, Gil PS, et al. (2020) Targeted sequence design within the coarse-grained polymer genome. Science Advances. 6 |
| Sharon D, Bennington P, Dolejsi M, et al. (2020) Intrinsic Ion Transport Properties of Block Copolymer Electrolytes. Acs Nano |
| Chu W, Webb MA, Deng C, et al. (2020) Understanding Ion Mobility in P2VP/NMP+I– Polymer Electrolytes: A Combined Simulation and Experimental Study Macromolecules. 53: 2783-2792 |
| Jackson NE, Bowen AS, Antony LW, et al. (2019) Electronic structure at coarse-grained resolutions from supervised machine learning. Science Advances. 5: eaav1190 |
| Eldridge DL, Korol R, Lloyd MK, et al. (2019) Comparison of Experimental vs Theoretical Abundances of 13CH3D and 12CH2D2 for Isotopically Equilibrated Systems from 1 to 500 °C Acs Earth and Space Chemistry. 3: 2747-2764 |
| Jackson NE, Webb MA, de Pablo JJ. (2019) Recent advances in machine learning towards multiscale soft materials design Current Opinion in Chemical Engineering. 23: 106-114 |