From two‐dimensional materials to polymer nanocomposites with emerging multifunctional applications: A critical review

Gabriel M. Pinto, Josué M. O. Cremonezzi,Hélio Ribeiro, Ricardo J. E. Andrade, Nicole R. Demarquette,Guilhermino J. M. Fechine

Polymer Composites(2023)

引用 4|浏览0
暂无评分
摘要
Abstract 2D materials are a very up‐and‐coming class of additives in the field of polymer composites due to their versatility and exceptional intrinsic properties. This enables researchers to create a variety of nanocomposites that can be employed in a myriad of emerging multifunctional applications. The performance of such nanocomposites depends heavily on the quality of the 2D materials, their interactions with the polymer matrix, as well as on their dispersion and morphology when embedded in the polymer. In order to control these variables, one needs to choose wisely between the available synthesis techniques and mixing strategies, playing with the process‐structure–property relationships, while keeping in mind the compatibility with current industrial infrastructure. Therefore, this paper presents a brief review on the 2D materials most used in polymer nanocomposites, the main synthesis techniques and mixing routes developed, the state of the art on the most sought‐after properties in different systems, and what are the effects of the morphology evolution. In each section, the main challenges are highlighted, and possible strategies to overcome them are presented, for example, the advent of hybrid 2D nanostructures, which promote synergistic effects, enabling the combination of properties that were not previously achievable on the final material. Finally, the paper ends by presenting a perspective of the current state in the development of these emerging multifunctional nanocomposites and what are the most important steps that need to be taken, not only academically, but also industrially, in order for these materials to start being widely applied and become staples in the daily life of humanity.
更多
查看译文
关键词
polymer nanocomposites,multifunctional applications
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要