Recent advancements in mechanical properties of graphene-enhanced polymer nanocomposites: Progress, challenges, and pathways forward.

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of molecular graphics & modelling Pub Date : 2024-11-15 DOI:10.1016/j.jmgm.2024.108908
Amir Hamed Mashhadzadeh, Amin Hamed Mashhadzadeh, Boris Golman, Christos Spitas, Salah A Faroughi, Konstantinos V Kostas
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Abstract

The versatile properties of graphene-based polymers have captured substantial interest in recent years, making them a topic of significant research focus. This review paper aims to provide an in-depth analysis of the reported mechanical properties of graphene polymer nanocomposites, a highly promising class of materials for diverse industrial applications. Within this review, we emphasize the role of interactions between graphene and the polymer matrix in achieving uniform dispersion to prevent agglomeration and mitigate adverse effects on mechanical properties. Furthermore, we focus on functionalization as the main method of enhancing graphene physicochemical properties, highlighting its capacity to enhance homogeneous dispersion and significantly improve mechanical properties. These enhancements are contingent on factors such as the type and quantity of functionalization agents and the chosen technique. Additionally, we comprehensively examine recent experimental and theoretical research pertaining to the mechanical properties of graphene/polymer nanocomposites. Our analysis contains two primary polymer categories, namely thermoset and thermoplastic matrices, while also considering graphene loading type and volume fraction, as well as the influence of functionalization agents. This review uniquely addresses the existing gap in a comparative analysis between thermoset and thermoplastic matrices, offering insights into how different loading and functionalization methods influence mechanical properties. Moreover, we emphasize the need for further research in optimizing functionalization techniques and understanding the long-term stability of these composites, an area underexplored in current literature. This work stands out by highlighting future directions for refining synthesis techniques and expanding applications of graphene/polymer nanocomposites across industries such as aerospace, automotive, and electronics. Future endeavors may focus on addressing the challenges, refining synthesis techniques, and exploring novel applications, thereby contributing to the continued growth and evolution of graphene/polymer nanocomposites in the field of materials science.

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石墨烯增强聚合物纳米复合材料机械性能的最新进展:进展、挑战和前进之路。
近年来,石墨烯基聚合物的多功能特性引起了人们的极大兴趣,使其成为一个重要的研究课题。石墨烯聚合物纳米复合材料是一类极具发展前景的材料,可应用于多种工业领域,本综述旨在深入分析已报道的石墨烯聚合物纳米复合材料的力学性能。在这篇综述中,我们强调了石墨烯与聚合物基体之间的相互作用在实现均匀分散以防止团聚和减轻对机械性能的不利影响方面所起的作用。此外,我们将重点放在功能化上,将其作为增强石墨烯物理化学特性的主要方法,强调其增强均匀分散和显著改善机械特性的能力。这些改进取决于功能化剂的类型和数量以及所选技术等因素。此外,我们还全面考察了有关石墨烯/聚合物纳米复合材料机械性能的最新实验和理论研究。我们的分析包含两个主要聚合物类别,即热固性和热塑性基材,同时还考虑了石墨烯负载类型和体积分数,以及官能化剂的影响。本综述独特地填补了热固性和热塑性基材之间比较分析的现有空白,深入探讨了不同的负载和功能化方法如何影响机械性能。此外,我们还强调了进一步研究优化官能化技术和了解这些复合材料长期稳定性的必要性,而这一领域在目前的文献中还未得到充分探索。这项工作的突出之处在于强调了完善合成技术和扩大石墨烯/聚合物纳米复合材料在航空航天、汽车和电子等行业应用的未来方向。未来的工作重点可能是应对挑战、完善合成技术和探索新型应用,从而促进石墨烯/聚合物纳米复合材料在材料科学领域的持续发展和演变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
期刊最新文献
Dispersion-corrected DFT calculations and dynamic molecular simulations to investigate conformational stability of Lidocaine towards β-CD and HP-β-CD. Recent advancements in mechanical properties of graphene-enhanced polymer nanocomposites: Progress, challenges, and pathways forward. Estimating AChE inhibitors from MCE database by machine learning and atomistic calculations. Effects of carbon nanotube and alumina doping on the properties of para-aramids: A DFT and molecular dynamics study. Exploring the interaction between Fe3+ and REGLE motif of the high-affinity iron permease (Ftr1): An in silico approach
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