Characterizing Infrared Spectra of OH-·(H2O)2and OH-·(H2O)3 with Constrained Nuclear-Electronic Orbital Molecular Dynamics.

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL
Zhe Liu, Yiwen Wang, Yuzhe Zhang, Nan Yang, Yang Yang
{"title":"Characterizing Infrared Spectra of OH<sup>-</sup>·(H<sub>2</sub>O)<sub>2</sub>and OH<sup>-</sup>·(H<sub>2</sub>O)<sub>3</sub> with Constrained Nuclear-Electronic Orbital Molecular Dynamics.","authors":"Zhe Liu, Yiwen Wang, Yuzhe Zhang, Nan Yang, Yang Yang","doi":"10.1021/acs.jpca.5c04334","DOIUrl":null,"url":null,"abstract":"<p><p>The vibrational spectra of OH<sup>-</sup>·(H<sub>2</sub>O)<sub><i>n</i></sub> clusters for small <i>n</i> have been well established experimentally, with fundamental modes largely assigned. However, clear assignment of highly anharmonic modes and combination bands associated with strong hydrogen bonds, which often manifest as broad spectral features, remains challenging. In this work, we employ constrained nuclear-electronic orbital molecular dynamics (CNEO-MD) to provide detailed peak assignments and plausible physical interpretations for the vibrational spectra of OH<sup>-</sup>·(H<sub>2</sub>O)<sub>n</sub> clusters with <i>n</i> = 2 and 3. The CNEO framework incorporates nuclear quantum effects, particularly nuclear quantum delocalization, through the underlying effective potential energy surfaces. When combined with classical molecular dynamics, CNEO-MD further captures coupling effects between vibrational modes. Leveraging machine-learned potentials, we perform a series of temperature-dependent CNEO-MD simulations and use the resulting spectra to facilitate peak assignment. Our results largely confirm the experimental assignments reported by Johnson and coworkers [<i>J. Chem. Phys.</i> <b>2016</b>, 145, 134304], while also providing direct, physically grounded interpretations of previously unassigned features.</p>","PeriodicalId":59,"journal":{"name":"The Journal of Physical Chemistry A","volume":" ","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Physical Chemistry A","FirstCategoryId":"1","ListUrlMain":"https://doi.org/10.1021/acs.jpca.5c04334","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

The vibrational spectra of OH-·(H2O)n clusters for small n have been well established experimentally, with fundamental modes largely assigned. However, clear assignment of highly anharmonic modes and combination bands associated with strong hydrogen bonds, which often manifest as broad spectral features, remains challenging. In this work, we employ constrained nuclear-electronic orbital molecular dynamics (CNEO-MD) to provide detailed peak assignments and plausible physical interpretations for the vibrational spectra of OH-·(H2O)n clusters with n = 2 and 3. The CNEO framework incorporates nuclear quantum effects, particularly nuclear quantum delocalization, through the underlying effective potential energy surfaces. When combined with classical molecular dynamics, CNEO-MD further captures coupling effects between vibrational modes. Leveraging machine-learned potentials, we perform a series of temperature-dependent CNEO-MD simulations and use the resulting spectra to facilitate peak assignment. Our results largely confirm the experimental assignments reported by Johnson and coworkers [J. Chem. Phys. 2016, 145, 134304], while also providing direct, physically grounded interpretations of previously unassigned features.

用约束核电子轨道分子动力学表征OH-·(H2O)2和OH-·(H2O)3的红外光谱
对于小n, OH-·(H2O)n簇的振动谱已经在实验中得到了很好的建立,基本模式基本确定。然而,明确分配高非谐波模式和与强氢键相关的组合带(通常表现为广谱特征)仍然具有挑战性。在这项工作中,我们采用约束核电子轨道分子动力学(CNEO-MD)对n = 2和3的OH-·(H2O)n簇的振动谱提供了详细的峰分配和合理的物理解释。CNEO框架通过潜在的有效势能面结合了核量子效应,特别是核量子离域。当与经典分子动力学相结合时,CNEO-MD进一步捕获了振动模式之间的耦合效应。利用机器学习电位,我们执行了一系列与温度相关的CNEO-MD模拟,并使用所得光谱来促进峰分配。我们的结果在很大程度上证实了Johnson和同事报告的实验任务[J]。化学。物理学报,2016,45,134304],同时也提供了以前未分配的特征的直接的、物理基础的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
The Journal of Physical Chemistry A
The Journal of Physical Chemistry A 化学-物理:原子、分子和化学物理
CiteScore
5.20
自引率
10.30%
发文量
922
审稿时长
1.3 months
期刊介绍: The Journal of Physical Chemistry A is devoted to reporting new and original experimental and theoretical basic research of interest to physical chemists, biophysical chemists, and chemical physicists.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信