• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

模拟一氧化碳与柔性石墨烯的相互作用:从耦合簇计算到分子动力学模拟

Modeling the Interaction of Carbon Monoxide with Flexible Graphene: From Coupled Cluster Calculations to Molecular-Dynamics Simulations.

作者信息

Wilson Jake, Faginas-Lago Noelia, Vekeman Jelle, Cuesta Inmaculada G, Sánchez-Marín José, Sánchez de Merás Alfredo

机构信息

Instituto de Ciencia Molecular, Universitat de València, Catedràtic José Beltrán 2, 46980, Paterna, Spain.

Dipartimento di Chimica, Biologia e Biotecnologie, Università di Perugia, Consortium for Computational Molecular and Materials Sciences (CMS)2, Via Elce di Sotto 8, 06123, Perugia, Italy.

出版信息

Chemphyschem. 2018 Mar 19;19(6):774-783. doi: 10.1002/cphc.201701387. Epub 2018 Feb 13.

DOI:10.1002/cphc.201701387
PMID:29314565
Abstract

The interaction of CO with graphene was studied at different theoretical levels. Quantum-mechanical calculations on finite graphene models with the use of coronene for coupled cluster calculations and circumcoronene for B97D calculations showed that there was no preferential site for adsorption and that the most important factor was the orientation of CO relative to graphene. The parallel orientation was preferred, with binding energies around 9 kJ mol at the CCSD(T) and B97D levels, which was in good agreement with experimental findings. From a large number of CO-circumcoronene and CO-CO interactions, computed at different distances and randomly generated orientations, parameters were fit to the improved Lennard-Jones potential. Such potentials, together with others describing the intramolecular dynamics of graphene, were subsequently employed in classical molecular-dynamics simulations of the adsorption of CO on graphene by using the canonical ensemble. The obtained results showed that the introduction of flexibility in graphene, which simulated the effects associated to curvature of the surface, diminished the adsorption level and that, as expected, adsorption also diminished with temperature.

摘要

在不同理论水平下研究了一氧化碳与石墨烯的相互作用。使用并五苯进行耦合簇计算以及使用外接并五苯进行B97D计算,对有限石墨烯模型进行量子力学计算,结果表明不存在优先吸附位点,最重要的因素是一氧化碳相对于石墨烯的取向。平行取向更受青睐,在CCSD(T)和B97D水平下结合能约为9 kJ mol,这与实验结果吻合良好。通过在不同距离和随机生成的取向下计算大量一氧化碳-外接并五苯和一氧化碳-一氧化碳相互作用,将参数拟合到改进的 Lennard-Jones 势。随后,利用正则系综,将此类势与其他描述石墨烯分子内动力学的势一起用于一氧化碳在石墨烯上吸附的经典分子动力学模拟。所得结果表明,引入模拟与表面曲率相关效应的石墨烯柔韧性会降低吸附水平,并且正如预期的那样,吸附也会随温度降低。

相似文献

1
Modeling the Interaction of Carbon Monoxide with Flexible Graphene: From Coupled Cluster Calculations to Molecular-Dynamics Simulations.模拟一氧化碳与柔性石墨烯的相互作用:从耦合簇计算到分子动力学模拟
Chemphyschem. 2018 Mar 19;19(6):774-783. doi: 10.1002/cphc.201701387. Epub 2018 Feb 13.
2
Adsorption of small organic molecules on graphene.石墨烯对小分子的吸附。
J Am Chem Soc. 2013 Apr 24;135(16):6372-7. doi: 10.1021/ja403162r. Epub 2013 Apr 16.
3
Searching for DFT-based methods that include dispersion interactions to calculate the physisorption of H on benzene and graphene.寻找基于密度泛函理论的方法,包括色散相互作用,以计算 H 在苯和石墨烯上的物理吸附。
J Chem Phys. 2017 Jun 7;146(21):214104. doi: 10.1063/1.4984106.
4
Accurate description of argon and water adsorption on surfaces of graphene-based carbon allotropes.准确描述基于石墨烯的碳同素异形体表面上的氩气和水吸附。
J Phys Chem A. 2011 Oct 20;115(41):11387-93. doi: 10.1021/jp205330n. Epub 2011 Aug 2.
5
Multiscale Simulation of the Interaction and Adsorption of Ions on a Hydrophobic Graphene Surface.疏水石墨烯表面离子相互作用与吸附的多尺度模拟
Chemphyschem. 2018 Nov 5;19(21):2954-2960. doi: 10.1002/cphc.201800428. Epub 2018 Aug 24.
6
Development of accurate potentials for the physisorption of water on graphene.开发水在石墨烯上物理吸附的精确势能。
J Chem Phys. 2023 Jan 14;158(2):024104. doi: 10.1063/5.0131626.
7
Adsorption of Monocyclic Carbon Rings on Graphene: Energetics Revealed via Continuum Modeling.单环碳环在石墨烯上的吸附:通过连续介质模型揭示的能量学
ACS Omega. 2018 Jul 9;3(7):7542-7554. doi: 10.1021/acsomega.8b00378. eCollection 2018 Jul 31.
8
Molecular Dynamics of CH/N Mixtures on a Flexible Graphene Layer: Adsorption and Selectivity Case Study.柔性石墨烯层上CH/N混合物的分子动力学:吸附与选择性案例研究
Front Chem. 2019 Jun 3;7:386. doi: 10.3389/fchem.2019.00386. eCollection 2019.
9
Van der Waals interactions between hydrocarbon molecules and zeolites: periodic calculations at different levels of theory, from density functional theory to the random phase approximation and Møller-Plesset perturbation theory.烃分子和沸石之间的范德华相互作用:不同理论水平的周期性计算,从密度泛函理论到随机相位近似和 Møller-Plesset 微扰理论。
J Chem Phys. 2012 Sep 21;137(11):114111. doi: 10.1063/1.4750979.
10
Theoretical insight into hydrogen adsorption onto graphene: a first-principles B3LYP-D3 study.石墨烯对氢吸附的理论洞察:一项第一性原理B3LYP-D3研究。
Phys Chem Chem Phys. 2015 Jan 28;17(4):2504-11. doi: 10.1039/c4cp04399e. Epub 2014 Dec 10.

引用本文的文献

1
Multilayer Graphtriyne Membranes for Separation and Storage of CO: Molecular Dynamics Simulations of Post-Combustion Model Mixtures.多层石墨炔膜在 CO 分离和存储中的应用:燃烧后模型混合物的分子动力学模拟。
Molecules. 2022 Sep 13;27(18):5958. doi: 10.3390/molecules27185958.
2
Grand Canonical Monte Carlo Simulations to Determine the Optimal Interlayer Distance of a Graphene Slit-Shaped Pore for Adsorption of Methane, Hydrogen and their Equimolar Mixture.巨正则蒙特卡罗模拟以确定用于甲烷、氢气及其等摩尔混合物吸附的石墨烯狭缝形孔的最佳层间距离。
Nanomaterials (Basel). 2021 Sep 28;11(10):2534. doi: 10.3390/nano11102534.
3
Modeling the Adsorption of the miR-29a Cancer Biomarker on a Graphene Quantum Dot.
模拟miR - 29a癌症生物标志物在石墨烯量子点上的吸附
ACS Omega. 2021 Aug 9;6(33):21764-21772. doi: 10.1021/acsomega.1c03404. eCollection 2021 Aug 24.
4
Molecular Dynamics of CH/N Mixtures on a Flexible Graphene Layer: Adsorption and Selectivity Case Study.柔性石墨烯层上CH/N混合物的分子动力学:吸附与选择性案例研究
Front Chem. 2019 Jun 3;7:386. doi: 10.3389/fchem.2019.00386. eCollection 2019.
5
DFT study of CO adsorption on nitrogen/boron doped-graphene for sensor applications.用于传感器应用的氮/硼掺杂石墨烯上CO吸附的密度泛函理论研究。
J Mol Model. 2019 Mar 9;25(4):91. doi: 10.1007/s00894-019-3973-z.