VASP2KP: k·p Models and Landé g-Factors from ab initio Calculations

被引:0
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作者
章盛 [1 ,2 ]
盛昊昊 [1 ,2 ]
宋志达 [3 ,4 ,5 ]
梁晨昊 [1 ,2 ]
蒋毅 [1 ,2 ]
孙松 [1 ,2 ]
吴泉生 [1 ,2 ]
翁红明 [1 ,2 ]
方忠 [1 ,2 ]
戴希 [6 ]
王志俊 [1 ,2 ]
机构
[1] Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics,Chinese Academy of Sciences
[2] University of Chinese Academy of Sciences
[3] International Center for Quantum Materials, School of Physics, Peking University
[4] Hefei National Laboratory
[5] Collaborative Innovation Center of Quantum Matter
[6] Department of Physics, Hong Kong University of Science and Technology
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
O469 [凝聚态物理学];
学科分类号
070205 ;
摘要
The k · p method is significant in condensed matter physics for the compact and analytical Hamiltonian.In the presence of magnetic field, it is described by the effective Zeeman’s coupling Hamiltonian with Landé g-factors. Here, we develop an open-source package VASP2KP(including two parts: vasp2mat and mat2kp) to compute k·p parameters and Landé g-factors directly from the wavefunctions provided by the density functional theory(DFT) as implemented in Vienna ab initio Simulation Package(VASP). First, we develop a VASP patch vasp2mat to compute matrix representations of the generalized momentum operator π = p +12mc2[s × ?V(r)],spin operator s, time reversal operatorT, and crystalline symmetry operatorsR on the DFT wavefunctions.Second, we develop a python code mat2kp to obtain the unitary transformation U that rotates the degenerate DFT basis towards the standard basis, and then automatically compute the k·p parameters and g-factors. The theory and the methodology behind VASP2KP are described in detail. The matrix elements of the operators are derived comprehensively and computed correctly within the projector augmented wave method. We apply this package to some materials, e.g., Bi2Se3, Na3Bi, Te, InAs and 1H-TMD monolayers. The obtained effective model’s dispersions are in good agreement with the DFT data around the specific wave vector, and the g-factors are consistent with experimental data. The VASP2KP package is available at https://github.com/zjwang11/VASP2KP.
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页码:173 / 193
页数:21
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    盛昊昊
    宋志达
    梁晨昊
    蒋毅
    孙松
    吴泉生
    翁红明
    方忠
    戴希
    王志俊
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