Research Output per Year
Research Output per Year
Overview
Personal Profile
Jeff Law leads the development and application of machine learning models to design bio-based polymers for various applications, as well as to engineer enzymes to improve their stability with respect to temperature, pH, and organic solvents for better production of biofuels.
Research Interests
Machine learning
Enzyme engineering
Bio-based materials design
Molecular dynamics simulations
Professional Experience
Postdoctoral Researcher, NREL (2020–2023)
Education/Academic Qualification
Bachelor, Bioinformatics, Brigham Young University
PhD, Genetics, Bioinformatics, and Computational Biology, Virginia Tech
Fingerprint
Dive into the research topics where Jeff Law is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research Output
- 6 Article
-
Plug & Play Directed Evolution of Proteins with Gradient-Based Discrete MCMC: Article No. 025014
Emami, P., Perreault, A., Law, J., Biagioni, D. & St. John, P., 2023, In: Machine Learning: Science and Technology. 4, 2, 21 p.Research output: Contribution to journal › Article › peer-review
3 Scopus Citations -
Upper-Bound Energy Minimization to Search for Stable Functional Materials with Graph Neural Networks
Law, J., Pandey, S., Gorai, P. & St. John, P., 2023, In: JACS Au. 3, 1, p. 113-123 11 p.Research output: Contribution to journal › Article › peer-review
8 Scopus Citations -
graphenv: A Python Library for Reinforcement Learning on Graph Search Spaces: Article No. 4621
Biagioni, D., Tripp, C., Clark, S., Duplyakin, D., Law, J. & St. John, P., 2022, In: Journal of Open Source Software. 7, 77, 3 p.Research output: Contribution to journal › Article › peer-review
-
Integrating Multimodal Data Through Interpretable Heterogeneous Ensembles
Li, Y., Wang, L., Law, J., Murali, T. & Pandey, G., 2022, In: Bioinformatics Advances. 2, 1, 9 p., Article No. vbac065.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus Citations -
Multi-Objective Goal-Directed Optimization of De Novo Stable Organic Radicals for Aqueous Redox Flow Batteries
Sowndarya S. V., S., Law, J., Tripp, C., Duplyakin, D., Skordilis, E., Biagioni, D., Paton, R. S. & St. John, P., 2022, In: Nature Machine Intelligence. 4, p. 720-730 11 p.Research output: Contribution to journal › Article › peer-review
Open Access38 Scopus Citations