论文标题
探索二维范德华重力材料：数据挖掘理论方法
Exploring two-dimensional van der Waals heavy-fermion material: Data mining theoretical approach
论文作者
论文摘要
发现二维（2D）范德华（VDW）材料通常提供有趣的操场来探索新现象。 2D VDW材料中缺少的组件之一是固有的重毛顶系统，它可以提供额外的研究量子临界点（QCP），非常规的超导性和VDW异质结构中的新现象的自由度。在这里，我们通过基于动态平均场理论计算的实验已知化合物的数据库研究了2D VDW重型屈光度候选者，结合了密度功能理论（DFT+DMFT）。我们发现，CESII的近托共振状态不会在去角质后发生变化，并且很容易通过应变和表面掺杂来控制。我们的结果表明，CESII是理想的2D VDW重毛顶材料，可以通过外部扰动来识别量子临界点。
The discovery of two-dimensional (2D) van der Waals (vdW) materials often provides interesting playgrounds to explore novel phenomena. One of the missing components in 2D vdW materials is the intrinsic heavy-fermion systems, which can provide an additional degree of freedom to study quantum critical point (QCP), unconventional superconductivity, and emergent phenomena in vdW heterostructures. Here, we investigate 2D vdW heavy-fermion candidates through the database of experimentally known compounds based on dynamical mean-field theory calculation combined with density functional theory (DFT+DMFT). We have found that the Kondo resonance state of CeSiI does not change upon exfoliation and can be easily controlled by strain and surface doping. Our result indicates that CeSiI is an ideal 2D vdW heavy-fermion material and the quantum critical point can be identified by external perturbations.
