用于技术应用的聚甲基丙烯酸甲酯纳米颗粒增强石墨烯的热物理性质:分子模型

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ernesto López-Chávez, Yesica A. Peña-Castañeda, Alberto Garcia-Quiroz, José A. I. Díaz Góngora, Fray de Landa Castillo-Alvarado
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引用次数: 0

摘要

“聚甲基丙烯酸甲酯增强石墨烯的纳米结构”(PMMA-G),反之亦然,在本工作中使用其分子结构进行了研究。PMMA- g纳米结构是由PMMA与石墨烯纳米片键合而成的,在某种意义上可以得到三种不同的构型。每一种构型都由三种聚合度的聚合物结构组成(分别为单体、二聚体和三聚体聚合物)。所获得的结果使这种新的PMMA-G材料更加可靠,并且在几个重要的技术应用中更加有用,例如氢存储设备,电池,超级电容器,传感器和太阳能电池,以及牙科材料等。石墨烯增强PMMA有利于其热稳定性,在热变化(最小变形)下保持更大的尺寸稳定性;这对于在制造过程中经历反复热循环的电子设备和封装系统至关重要,并且它们也是良好的隔热体。对于微电子设备,如芯片和传感器,具有低热膨胀系数,它可以防止不必要的变形。当用石墨烯增强PMMA时,其密度会增加,聚合物往往更硬、更强,这对于需要更大结构强度的应用很重要,而且与纯PMMA相比,它在溶剂中的可溶性更低,更耐化学物质的作用。将普通的聚氯乙烯(PVC)材料与PMMA-G聚合物进行比较,我们发现PMMA-G具有更多的优点,例如PMMA-G更便宜,美观性更好,刚性更低,颜色更稳定,不易保持微生物存活等优点。方法采用materials Studio (MS)软件对聚甲基丙烯酸甲酯纳米颗粒增强石墨烯的热物理性质进行了分析,并将其作为最佳、最可靠的计算工具。通过MS软件下DMol3计算代码实现的密度泛函理论方法,获得了最稳定的PMMA纳米结构石墨烯和PMMA- g。同样是MS软件下的Synthia计算代码,基于图论与几何变量相结合的连通性指标方法,对每个聚合结构进行了计算,得到了一些重要的热物理性质;即:范德华体积、摩尔体积、体积热膨胀系数、密度、恒压固相摩尔热容、导热系数、玻璃化转变温度、二次弛豫温度、半分解温度。使用最好的硬件是一台T7500戴尔工作站,它有3.47 GHz四核处理器,96 Gb RAM内存和一个永久的MS软件许可证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermophysical properties of graphene reinforced with polymethyl methacrylate nanoparticles for technological applications: a molecular model

Context

“Nanostructure of graphene-reinforced with polymethyl methacrylate” (PMMA-G), and vice versa, is investigated using its molecular structure, in the present work. The PMMA-G nanostructure was constructed by bonding PMMA with graphene nanosheet in a sense to get three different configurations. Each configuration consisted of polymeric structures with three degrees of polymerization (such as monomers, dimers, and trimers polymers, respectively). The results obtained make this new PMMA-G material more reliable and useful for several important technological applications, such as the construction of devices for hydrogen storage, batteries, super-capacitors, sensors and solar cells, and dental materials, among others. The PMMA reinforcement with graphene favors its thermal stability maintaining greater dimensional stability against thermal variations (minimal deformation); this is crucial for electronic devices and for packaging systems that undergo repeated thermal cycles during their manufacture, and also they are good thermal insulators. For microelectronic devices, such as chips and sensors, with low thermal expansion coefficients, it may prevent unwanted deformation. The PMMA density increases when it is reinforced with graphene, the polymers tend to be stiffer and stronger, important for applications where greater structural strength is required, and also become less soluble in solvents than pure PMMA and more resistant to the action of chemicals. Comparing a common polyvinyl chloride (PVC) material with the PMMA-G polymer, we found more advantages, such as the PMMA-G is less expensive, it has improved aesthetics, it is less rigid, it has more stable color, and it is less prone to keeping microorganisms alive, among others advantages.

Methods

Materials Studio (MS) software is used as the best and most reliable computational tool in the sense of analyzing some thermophysical properties of graphene reinforced with polymethyl methacrylate nanoparticles. The most stable PMMA nanostructures, graphene and PMMA-G, were obtained by applying density functional theory methods implemented by a DMol3 computational code under the MS software. The Synthia computational code, also under MS software, which is based on connectivity indices methods derived from graph theory combined with geometric variables, was also applied, to each polymerized structure, obtaining some of the important thermophysical properties; i.e., Van der Waals volume, molar volume, coefficient of volumetric thermal expansion, density, solid phase molar heat capacity at constant pressure, thermal conductivity, glass transition temperature, secondary relaxation temperature, and half decomposition temperature. The best-used hardware was a T7500 Dell Workstation, with 3.47 GHz Quad-Core Processors, 96 Gb RAM memory, and a perpetual MS software license.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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