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Exploring two-dimensional van der Waals heavy-fermion material: Data mining theoretical approach

Authors :
Bo Gyu Jang
Changhoon Lee
Jian-Xin Zhu
Ji Hoon Shim
Source :
npj 2D Materials and Applications, Vol 6, Iss 1, Pp 1-7 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
23977132
Volume :
6
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj 2D Materials and Applications
Publication Type :
Academic Journal
Accession number :
edsdoj.5575adcf65c64c5c8c2519bf9240d2c9
Document Type :
article
Full Text :
https://doi.org/10.1038/s41699-022-00357-x