| SAMPL5: 3D-RISM partition coefficient calculations with partial molar volume corrections and solute conformational sampling T Luchko, N Blinov, GC Limon, KP Joyce, A Kovalenko Journal of computer-aided molecular design 30 (11), 1115-1127, 2016 | 40 | 2016 |
| Probing the skill of random forest emulators for physical parameterizations via a hierarchy of simple CAM6 configurations GC Limon, C Jablonowski Journal of Advances in Modeling Earth Systems 15 (6), e2022MS003395, 2023 | 2 | 2023 |
| Practical Limitations of Machine Learning Approaches for Online Emulation of Simplified Physical Processes in CAM6 G Limon, C Jablonowski 104th AMS Annual Meeting, 2024 | | 2024 |
| An Assessment of Machine Learning Techniques for Replicating Physical Forcing Mechanisms in Climate Models G Limon, C Jablonowski Authorea Preprints, 2022 | | 2022 |
| An Evaluation of Coupled Machine Learning Emulators for Physical Parameterizations in the Community Atmosphere Model G Limon, C Jablonowski AGU Fall Meeting Abstracts 2020, A068-0003, 2020 | | 2020 |
| Utilizing Machine Learning to Replace Physical Parameterization Schemes: How Do Different Techniques Compare? G Limon, C Jablonowski 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
| Accelerating the 3D-RISM implicit solvent model using treecode and multigrid methods L Wilson, G Limon, R Kransy, T Luchko ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 256, 2018 | | 2018 |
| Development and Implementation of a Recursive Multi-Grid Solver into 3D-RISM G Limon | | 2018 |
