一种基于网络化纳米片、界面和隧穿区的石墨烯基系统导电性创新模型。

Zare Yasser, Rhee Kyong Yop

Biomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.

Department of Mechanical Engineering (BK21 Four), College of Engineering, Kyung Hee University, Yongin, Republic of Korea.

Sci Rep. 2022 Sep 7;12(1):15179. doi: 10.1038/s41598-022-19479-9.

This study presents a simple equation for the conductivity of graphene-filled nanocomposites by considering graphene size, amount of filler in the net, interphase deepness, tunneling size, and properties of the net. The amount of nanoparticles in the net is related to the percolation threshold and effective filler content. The novel model is analyzed using the measured conductivity of numerous examples and the factors' impacts on the conductivity. Both experienced data and parametric examinations verify the correctness of the novel model. Among the studied factors, filler amount and interphase deepness implicitly manage the conductivity from 0 to 7 S/m. It is explained that the interphase amount affects the operative quantity of nanofiller, percolation threshold, and amount of nets.

本研究通过考虑石墨烯尺寸、网络中填料的含量、界面深度、隧穿尺寸和网络性质，给出了一个用于计算石墨烯填充纳米复合材料电导率的简单方程。网络中纳米颗粒的含量与渗流阈值和有效填料含量有关。利用大量实例的实测电导率以及各因素对电导率的影响，对该新模型进行了分析。经验数据和参数检验均验证了新模型的正确性。在所研究的因素中，填料含量和界面深度隐含地控制着电导率从0到7 S/m的变化。据解释，界面数量会影响纳米填料的作用量、渗流阈值和网络数量。