Xavier R. Advincula, Kara D. Fong, Angelos Michaelides, Christoph Schran
{"title":"The graphene-water interface is acidic","authors":"Xavier R. Advincula, Kara D. Fong, Angelos Michaelides, Christoph Schran","doi":"arxiv-2408.04487","DOIUrl":null,"url":null,"abstract":"Water's ability to autoionize into hydroxide and hydronium ions profoundly\ninfluences surface properties, rendering interfaces either basic or acidic.\nWhile it is well-established that the water-air interface is acidic, a critical\nknowledge gap exists in technologically relevant surfaces like the\ngraphene-water interface. Here we use machine learning-based simulations with\nfirst-principles accuracy to unravel the behavior of the hydroxide and\nhydronium ions at the graphene-water interface. Our findings reveal that the\ngraphene-water interface is acidic, with the hydronium ion predominantly\nresiding in the first contact layer of water. In contrast, the hydroxide ion\nexhibits a bimodal distribution, found both near the surface and towards the\ninterior layers. Analysis of the underlying electronic structure reveals strong\npolarization effects, resulting in counterintuitive charge rearrangement.\nProton propensity to the graphene-water interface challenges the interpretation\nof surface experiments and is expected to have far-reaching consequences for\nion conductivity, interfacial reactivity, and proton-mediated processes.","PeriodicalId":501304,"journal":{"name":"arXiv - PHYS - Chemical Physics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Chemical Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.04487","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Water's ability to autoionize into hydroxide and hydronium ions profoundly
influences surface properties, rendering interfaces either basic or acidic.
While it is well-established that the water-air interface is acidic, a critical
knowledge gap exists in technologically relevant surfaces like the
graphene-water interface. Here we use machine learning-based simulations with
first-principles accuracy to unravel the behavior of the hydroxide and
hydronium ions at the graphene-water interface. Our findings reveal that the
graphene-water interface is acidic, with the hydronium ion predominantly
residing in the first contact layer of water. In contrast, the hydroxide ion
exhibits a bimodal distribution, found both near the surface and towards the
interior layers. Analysis of the underlying electronic structure reveals strong
polarization effects, resulting in counterintuitive charge rearrangement.
Proton propensity to the graphene-water interface challenges the interpretation
of surface experiments and is expected to have far-reaching consequences for
ion conductivity, interfacial reactivity, and proton-mediated processes.