Identifying candidate hosts for quantum defects via data mining

作     者：Austin M.Ferrenti Nathalie Pde Leon Jeff D.Thompson Robert J.Cava 

作者机构：Department of ChemistryPrinceton UniversityPrincetonNJ 08544USA Department of Electrical EngineeringPrinceton UniversityPrincetonNJ 08544USA 

出 版 物：《npj Computational Materials》 (计算材料学（英文）)

年 卷 期：2020年第6卷第1期

页      面：595-600页

核心收录：

学科分类：07[理学] 070201[理学-理论物理] 0702[理学-物理学] 

基　　金：Funding for this research was provided by the AFOSR(contract FA9550-18-1-0334) the Eric and Wendy Schmidt Transformative Technology Fund at Princeton University and the Princeton Catalysis Initiative 

主　　题：quantum applying suitability 

摘      要：Atom-like defects in solid-state hosts are promising candidates for the development of quantum information systems,but despite their importance,the host substrate/defect combinations currently under study have almost exclusively been found *** we systematically evaluate the suitability of host materials by applying a combined four-stage data mining and manual screening process to all entries in the Materials Project database,with literature-based experimental confirmation of band gap values.