Development and benchmarking of open force field 2.0. 0: the Sage small molecule force field S Boothroyd, PK Behara, OC Madin, DF Hahn, H Jang, V Gapsys, ... Journal of chemical theory and computation 19 (11), 3251-3275, 2023 | 78 | 2023 |
Deep learning based Nucleus Classification in pancreas histological images YH Chang, G Thibault, O Madin, V Azimi, C Meyers, B Johnson, J Link, ... 2017 39th annual international conference of the IEEE engineering in …, 2017 | 54 | 2017 |
Improving Force Field Accuracy by Training against Condensed-Phase Mixture Properties S Boothroyd, OC Madin, DL Mobley, LP Wang, JD Chodera, MR Shirts Journal of chemical theory and computation 18 (6), 3577-3592, 2022 | 18 | 2022 |
Bayesian-inference-driven model parametrization and model selection for 2CLJQ fluid models OC Madin, S Boothroyd, RA Messerly, J Fass, JD Chodera, MR Shirts Journal of chemical information and modeling 62 (4), 874-889, 2022 | 14 | 2022 |
Using physical property surrogate models to perform accelerated multi-fidelity optimization of force field parameters OC Madin, MR Shirts Digital Discovery 2 (3), 828-847, 2023 | 7* | 2023 |
OPLS5: Addition of Polarizability and Improved Treatment of Metals W Damm, S Dajnowicz, D Ghoreishi, Y Yu, K Ganeshan, O Madin, ... | | 2024 |
Improving Non-bonded Molecular Interactions through Enhanced Modeling Techniques OC Madin University of Colorado at Boulder, 2022 | | 2022 |