Machine-learned molecular mechanics force fields from large-scale quantum chemical data is a research paper published in Chemical Science (2024). On theSindex it has a DataRank of 0. It has been cited 40 times.
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National Science Foundation
Grant: 2137603
Track 4: Advanced CI Coordination Ecosystem: Monitoring and Measurement Services
National Science Foundation
Grant: 2138259
Track 1: ACCESS Resource Allocations Marketplace and Platform Services (RAMPS)
National Science Foundation
Grant: 2138286
Track 2: Customized Multi-tier Assistance, Training, and Computational Help (MATCH) for End User ACCESS to CI
National Science Foundation
Grant: 2138296
ACO: An Open CI Ecosystem to Advance Scientific Discovery (OpenCI)
National Science Foundation
Grant: 2138307
Track 3: COre National Ecosystem for CyberinfrasTructure (CONECT)
National Institutes of Health
Grant: NIGMS R01GM132386
National Institutes of Health
Grant: P30CA008748
National Institutes of Health
Grant: R01GM121505
National Institutes of Health
Grant: R01GM132386
National Institutes of Health
Grant: R35GM148236
National Institutes of Health
Grant: 2P30CA008748-43
MOUSE GENETICS
National Institutes of Health
Grant: 5R35GM148236-02
Accelerating drug discovery via ML-guided iterative design and optimization
National Institutes of Health
Grant: 5R01GM121505-02
The role of reorganization energy in achieving selective kinase inhibition
National Institutes of Health
Grant: 5R01GM132386-03
Open data-driven infrastructure for building biomolecular force fields for predictive biophysics and drug design
New York University
FWCI
3.61
Citation Percentile
1.0%
Citation Trend
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