Single-Ion Hydration Through the Lens of Data-Driven Many-Body Potentials
5 affiliations
- 1Department of Chemistry
- 2University of California San Diego
- 3Program in Materials Science and Engineering
- 4Halicioğlu Data Science Institute
- 5San Diego Supercomputer Center
Abstract
Single-ion hydration provides a stringent test of molecular models because local ionwater 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 parameterization 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.
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BibTeX
@misc{paesani2026singleion,
title = {{Single-Ion Hydration Through the Lens of Data-Driven Many-Body Potentials}},
author = {Francesco Paesani and Suman Saha and Richa Rashmi and Henry Agnew and Xuanyu Zhu and Olivia Zhou},
howpublished = {ChemRxiv},
year = {2026},
month = sep,
doi = {10.26434/chemrxiv.15008896/v1},
url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008896/v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - Single-Ion Hydration Through the Lens of Data-Driven Many-Body Potentials
AU - Francesco Paesani
AU - Suman Saha
AU - Richa Rashmi
AU - Henry Agnew
AU - Xuanyu Zhu
AU - Olivia Zhou
PY - 2026
DA - 2026/09/16
PB - ChemRxiv
DO - 10.26434/chemrxiv.15008896/v1
UR - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008896/v1
AB - Single-ion hydration provides a stringent test of molecular models because local ionwater 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 parameterization 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.
ER -