Work

Simulations of dielectric permittivity of water by machine learned potentials with long-range Coulombic interactions

Year: 2025

Type: article

Source: The Journal of Chemical Physics

DOI: 10.1063/5.0294554

Authors: Kehan Cai, Chunyi Zhang, Xifan Wu

Institutions: Princeton University, Eastern Institute of Technology, Ningbo, Temple University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, U.S. Department of Energy

Awards: G203625172, G42916606, MRI: Acquisition of a Flexible High-Performance Computing System for Data and Compute Driven Scientific Discovery, COMPUTATIONAL CHEMICAL SCIENCE CENTER: CHEMISTRY IN SOLUTION AND AT INTERFACES

OpenAlex ID: W4416169970

FWCI: 1.039

Cites: 42

Cited by: 5

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