Author

Nathan M. Lim

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biophysics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1

Frequent Co-Authors

Andrea Rizzi· 1 shared Caitlin C. BannaniD· 1 shared Christopher I. Bayly· 1 shared David L. MobleyiD· 1 shared John D. ChoderaiD· 1 shared Kyle. A. BeauchampiD· 1 shared Michael K. Gilson· 1 shared Michael R. Shirts· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBiophysics

Andrea Rizzi

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Open Force Field Consortium: Escaping atom types using direct chemical perception with SMIRNOFF v0.1

David L. Mobley, Caitlin C. Bannan, Andrea Rizzi, Christopher I. Bayly, John D. Chodera, Victoria T. Lim, Nathan M. Lim, Kyle. A. Beauchamp, Michael R. Shirts, Michael K. Gilson, Peter K. Eastman

The paper introduces a new approach to molecular mechanics force fields using direct chemical perception, reducing parameter count while maintaining accuracy.

bioRxiv · Jul 13, 2018 · PreprintBiophysics