论文标题
在多层还原石墨烯氧化物中朝着优化的电荷运输
Towards Optimized Charge Transport in Multilayer Reduced Graphene Oxides
论文作者
论文摘要
在基于石墨烯的复合应用的背景下,非常需要对多层氧化石墨烯(RGO)中电荷传导的完全理解。但是,这些RGO化合物的特征是多种和不同的疾病来源,具体取决于其合成的化学方法。最重要的是,层间相互作用在促进或危害电子流中的确切作用尚不清楚。在这里,由于开发了将第一原理计算与大规模传输模拟相结合的多尺度计算方法的发展,因此揭示了多层RGO中的传输缩放定律,从而解释了为什么随着膜厚度的增加,扩散会恶化。相比之下,当平均自由路径变短时,接触的膜显示出相反的趋势,因为传导主要由层间跳跃驱动。与实验数据相比,这些预测是有利的,并为优化基于石墨烯的复合材料而开辟了道路,并改善了电导。
In the context of graphene-based composite applications, a complete understanding of charge conduction in multilayer reduced graphene oxides (rGO) is highly desirable. However, these rGO compounds are characterized by multiple and different sources of disorder depending on the chemical method used for their synthesis. Most importantly the precise role of interlayer interaction in promoting or jeopardizing electronic flow remains unclear. Here, thanks to the development of a multiscale computational approach combining first-principles calculations with large scale transport simulations, the transport scaling laws in multilayer rGO are unraveled, explaining why diffusion worsens with increasing film thickness. In contrast, contacted films are found to exhibit an opposite trend when the mean free path becomes shorter than the channel length, since conduction becomes predominantly driven by interlayer hopping. These predictions are favourably compared with experimental data and open a road towards the optimization of graphene-based composites with improved electrical conduction.