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PreprintCC BYChemRxiv

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

5 affiliations
  1. 1Department of Chemistry
  2. 2University of California San Diego
  3. 3Program in Materials Science and Engineering
  4. 4Halicioğlu Data Science Institute
  5. 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  -