Thermal Transport through CTAB- and MTAB-Functionalized Gold Interfaces Using Molecular Dynamics Simulations.

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Sydney A Shavalier, J Daniel Gezelter
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引用次数: 0

Abstract

Thermal transport coefficients, notably the interfacial thermal conductance, were determined in planar and spherical gold interfaces functionalized with CTAB (cetyltrimethylammonium bromide) or MTAB (16-mercapto-hexadecyl-trimethylammonium bromide) using reverse nonequilibrium molecular dynamics (RNEMD) methods. The systems of interest included (111), (110), and (100) planar facets as well as nanospheres (r = 10 Å). The effect of metal polarizability was investigated through the implementation of the density-readjusted embedded atom model (DR-EAM), a polarizable metal potential. We find that conductance is higher in MTAB-capped interfaces, due in large part to the metal-to-ligand coupling provided by the Au-S bond. Alternatively, CTAB does not couple strongly with either the metal or the solvent, and it is largely a barrier to heat transfer, resulting in a much lower interfacial thermal conductance. Through analysis of physical contact between the ligand and the solvent, we find that there is significantly more overlap in the MTAB systems than the CTAB systems, mirroring the trends we observed in the conductance.

基于分子动力学模拟的CTAB和mtab功能化金界面的热传递
采用反非平衡分子动力学(RNEMD)方法测定了以CTAB(十六烷基三甲基溴化铵)或MTAB(16-巯基-十六烷基三甲基溴化铵)功能化的平面和球形金界面的热传递系数,特别是界面导热系数。感兴趣的系统包括(111)、(110)和(100)平面面以及纳米球(r = 10 Å)。通过实现可极化金属电势的密度可调嵌入原子模型(DR-EAM),研究了金属极化率的影响。我们发现,在mtab覆盖的界面中,电导率更高,这在很大程度上是由于Au-S键提供的金属-配体耦合。另外,CTAB不会与金属或溶剂强烈耦合,它在很大程度上是传热的屏障,导致界面导热系数低得多。通过分析配体与溶剂之间的物理接触,我们发现MTAB体系中的重叠明显多于CTAB体系,这反映了我们在电导中观察到的趋势。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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