标题： 非晶石墨烯中形态和电导的分离 显示英文标题

标题： Disentangling morphology and conductance in amorphous graphene

摘要： 非晶石墨烯或非晶单层碳（AMC）是一类碳膜，表现出对形态出乎意料的电子电导率敏感性。 我们结合深度学习增强的模拟技术和渗流理论来分析三种形态上不同的介观尺度AMC。 我们的方法避免了在这些本质上非周期性系统中应用周期边界条件或将晶体嵌入物等同于导电位点的陷阱。 我们重现了之前报道的电荷电导率对形态的依赖关系，并探索了部分形态描述符在观察电导率特性方面的局限性。 最后，我们在电子能量谱上对电导网络进行了结晶度分析，并表明它们从带边界的晶体颗粒局域化转变为费米能级附近的缺陷局域化，从而开启了通过栅极电压进行控制的可能性。 显示英文摘要

摘要： Amorphous graphene or amorphous monolayer carbon (AMC) is a family of carbon films that exhibit a surprising sensitivity of electronic conductance to morphology. We combine deep learning-enhanced simulation techniques with percolation theory to analyze three morphologically distinct mesoscale AMCs. Our approach avoids the pitfalls of applying periodic boundary conditions to these fundamentally aperiodic systems or equating crystalline inclusions with conducting sites. We reproduce the previously reported dependence of charge conductance on morphology and explore the limitations of partial morphology descriptors in witnessing conductance properties. Finally, we perform crystallinity analysis of conductance networks along the electronic energy spectrum and show that they metamorphose from being localized on crystallites at band edges to localized on defects around the Fermi energy opening the possibility of control through gate voltage.