Density-Corrected Many-body Representations in Aqueous Phase Chemistry
ORAL
Abstract
* This research was supported by the National Science Foundation (NSF) through grant no. 2102309. E.P. acknowledges support from NSF Grad-uate Research Fellowship Program (GRFP) through grant no. DGE-2038238, as well as the Alfred P. Sloan Ph.D. Fellowship through grant no. G-2020-14067. This research used Expanse at the San Diego Supercomputer Center (SDSC) through allocation CHE230052 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by NSF grants nos. 2138259, 2138286, 2138307, 2137603, and2138296, as well as Triton Shared Computing Cluster (TSCC) at SDSC.
–
Publication: [1] E Palos, et al. "Consistent Density Functional Theory-Based Description of Ion Hydration Through Density-Corrected Many-Body Representations"; To appear in J. Chem. Phys. [John Perdew Festschrift] Preprint: doi.org/10.26434/chemrxiv-2023-vp6ns
[2] E Palos, et al. "Data-driven many-body potentials from density functional theory for aqueous phase chemistry", Chem. Phys. Rev. 4, 011301 (2023)
[3] Etienne Palos, et al. " Density functional theory of water with the machine-learned DM21 functional ", J. Chem. Phys. 156, 161103 (2022)
[4] Etienne Palos et al, "Assessing the interplay between functional-driven and density-driven errors in DFT models of water", J. Chem. Theory Comput., 18, 6, 3410–3426 (2022)
Presenters
-
Etienne Palos
University of California, San Diego
Authors
-
Etienne Palos
University of California, San Diego
-
Francesco Paesani
University of California, San Diego