Single-Ion Hydration Through the Lens of Data-Driven Many-Body Potentials

Abstract Single-ion hydration provides a stringent test of molecular models because local ion–water interactions, collective polarization, nuclear quantum effects, and long-range electrostatics all contribute to experimentally measurable structure, spectra, and thermodynamics. Here we discuss how data-driven many-body potentials, in particular MB-pol for water and MB-nrg for hydrated ions, provide a physically transparent route from correlated electronic structure data to predictive simulations of ion hydration from clusters to bulk water and aqueous interfaces. We emphasize how this framework transforms single-ion hydration from a parametrization problem into a hierarchy of many-body observables, and we outline opportunities for connecting simulations directly with interfacial spectroscopy, hydration free energies, and complex electrolyte environments.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2026-11-09
DOI
https://doi.org/10.1021/acs.jpclett.6c02987
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Single-Ion Hydration Through the Lens of Data-Driven Many-Body Potentials

Henry Agnew, Francesco Paesani, Xuanyu Zhu, Richa Rashmi et al.
1 links
The Journal of Physical Chemistry Letters
Advanced Chemical Physics Studies
article

Single-Ion Hydration Through the Lens of Data-Driven Many-Body Potentials

Henry Agnew, Francesco Paesani, Xuanyu Zhu, Richa Rashmi, Suman Saha, Olivia Zhou
article en

Abstract

Abstract Single-ion hydration provides a stringent test of molecular models because local ion–water interactions, collective polarization, nuclear quantum effects, and long-range electrostatics all contribute to experimentally measurable structure, spectra, and thermodynamics. Here we discuss how data-driven many-body potentials, in particular MB-pol for water and MB-nrg for hydrated ions, provide a physically transparent route from correlated electronic structure data to predictive simulations of ion hydration from clusters to bulk water and aqueous interfaces. We emphasize how this framework transforms single-ion hydration from a parametrization problem into a hierarchy of many-body observables, and we outline opportunities for connecting simulations directly with interfacial spectroscopy, hydration free energies, and complex electrolyte environments.

The Journal of Physical Chemistry Letters
University of California San Diego (US)
National Science Foundation
Advanced Chemical Physics Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon