| GEOM, energy-annotated molecular conformations for property prediction and molecular generation S Axelrod, R Gomez-Bombarelli Scientific Data 9 (1), 1-14, 2022 | 29 | 2022 |
| Temperature-transferable coarse-graining of ionic liquids with dual graph convolutional neural networks J Ruza, W Wang, D Schwalbe-Koda, S Axelrod, WH Harris, ... The Journal of chemical physics 153 (16), 164501, 2020 | 22 | 2020 |
| Differentiable molecular simulations for control and learning W Wang, S Axelrod, R Gómez-Bombarelli arXiv preprint arXiv:2003.00868, 2020 | 22 | 2020 |
| Hyperbolic metamaterial nanoresonators make poor single-photon sources S Axelrod, MK Dezfouli, HMK Wong, AS Helmy, S Hughes Physical Review B 95 (15), 155424, 2017 | 21 | 2017 |
| Molecular machine learning with conformer ensembles S Axelrod, R Gomez-Bombarelli arXiv preprint arXiv:2012.08452, 2020 | 19 | 2020 |
| Active learning accelerates ab initio molecular dynamics on reactive energy surfaces SJ Ang, W Wang, D Schwalbe-Koda, S Axelrod, R Gómez-Bombarelli Chem 7 (3), 738-751, 2021 | 18 | 2021 |
| An efficient approach to the quantum dynamics and rates of processes induced by natural incoherent light S Axelrod, P Brumer The Journal of chemical physics 149 (11), 114104, 2018 | 13 | 2018 |
| Theory of hyperbolic stratified nanostructures for surface-enhanced Raman scattering HMK Wong, MK Dezfouli, S Axelrod, S Hughes, AS Helmy Physical Review B 96 (20), 205112, 2017 | 9 | 2017 |
| Multiple time scale open systems: Reaction rates and quantum coherence in model retinal photoisomerization under incoherent excitation S Axelrod, P Brumer The Journal of chemical physics 151 (1), 014104, 2019 | 7 | 2019 |
| Bottlebrush polymers with flexible enantiomeric side chains display differential biological properties HVT Nguyen, Y Jiang, S Mohapatra, W Wang, JC Barnes, NJ Oldenhuis, ... Nature Chemistry 14 (1), 85-93, 2022 | 6 | 2022 |
| Synthetic Glycomacromolecules of Defined Valency, Absolute Configuration, and Topology Distinguish between Human Lectins M Hartweg, Y Jiang, G Yilmaz, CM Jarvis, HVT Nguyen, GA Primo, ... JACS Au 1 (10), 1621-1630, 2021 | 5 | 2021 |
| Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential S Axelrod, E Shakhnovich, R Gómez-Bombarelli arXiv preprint arXiv:2108.04879, 2021 | 3 | 2021 |
| Learning matter: Materials design with machine learning and atomistic simulations S Axelrod, D Schwalbe-Koda, S Mohapatra, J Damewood, KP Greenman, ... Accounts of Materials Research 3 (3), 343-357, 2022 | 2 | 2022 |
| Neural Scaling of Deep Chemical Models N Frey, R Soklaski, S Axelrod, S Samsi, R Gomez-Bombarelli, C Coley, ... | | 2022 |
| Quasinormal mode approach to modelling light-matter interactions in plasmonic-dielectric cavity systems MK Dezfouli, S Axelrod, HMK Wang, A Helmy, R Gordon, S Hughes Active Photonic Materials VIII 9920, 49-53, 2016 | | 2016 |
| Differentiable Molecular Simulations for Learning and Control W Wang, S Axelrod, R Gómez-Bombarelli | | |
Rafael Gómez-BombarelliAssistant Professor, MIT DMSEVerifierad e-postadress på mit.edu
