Density-Corrected Many-body Representations in Aqueous Phase Chemistry

ORAL

Abstract

Kohn-Sham density functional theory (DFT) provides an unsatisfactory description of molecular interactions in solution, where local and non-local many-body (MB) effects compete. Density-corrected DFT (DC-DFT) has resurfaced as a practical approach for accurate energies of weakly interacting systems, often misrepresented by DFT. Herein, we discuss density-corrected molecular simulation, focusing on water and ion hydration, within a general framework that combines the ansatz of the many-body expansion with DC-DFT. We show that this framework, MB-DFT(DC), accurately describes molecular interactions in aqueous systems from the dimer to the condensed phase. We analyze the individual and collective effects of density-driven errors on the description of liquid water for several functionals, and identify when density-corrected potentials should be used. We explore the predictive capability of DC-SCAN and the MB-SCAN(DC) potential, showing that our density-corrected many-body approach predicts the N-body energies of hydrated ion clusters, discerning between ion--water/water--water interactions, with size-consistency and minimal loss of accuracy relative to coupled cluster. We provide insight from simulation into how density-correction translates to accurate descriptions of the structural properties of ions and water in the condensed phase, using the MB-SCAN(DC) potential. This connection between DC-DFT with a physics-based many-body treatment of molecular interactions, provides a promising path toward efficient DFT-based simulations with chemical accuracy.

* 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