Evidence map›Paper›PMID 40833416›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Tuning water dissociation at oxide-electrolyte interfaces with electric fields.

Chunyi Zhang, Zheng Yu, Roberto Car, Annabella Selloni

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. A unified machine-learning framework for ab initio multiscale modeling of liquids.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Ion Distribution and Cation Exchange at Mica-Electrolyte Interfaces Probed with Deep Potential Molecular Dynamics.Chemistry of materials : a publication of the American Chemical Society · 2026
    Article
  5. Article
  6. Tuning water dissociation at oxide-electrolyte interfaces with electric fields.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chunyi Zhang *Department of Chemistry, Princeton University, Princeton, NJ 08544.
Zheng Yu *Department of Chemistry, Princeton University, Princeton, NJ 08544.
Roberto CarDepartment of Chemistry, Princeton University, Princeton, NJ 08544.ORCID 0000-0001-5243-2647
Annabella SelloniDepartment of Chemistry, Princeton University, Princeton, NJ 08544.ORCID 0000-0001-5896-3158

Funding

DOE | SC | Oak Ridge National Laboratory (ORNL) DE-AC05-00OR22725National Energy Research Scientific Computing Center (NERSC) DE-AC02-05CH11231U.S. Department of Energy (DOE) DE-SC0019394
6 · The paper itself

Abstract

Understanding how electric fields influence water dissociation at heterogeneous interfaces is crucial for controlling interfacial chemical reactions and advancing next-generation energy technologies. Herein, ab initio-based machine learning simulations show that even small electric field changes can significantly alter the water dissociation fraction at planar TiO

Indexed as

electrochemistrymachine learningmolecular dynamics

Identifiers

PMID40833416
PMCPMC12403145

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.