Predicting two-dimensional semiconductors using conductivity effective mass

Wenjun Zhang, Zhikun Yao, Lee A. Burton*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper we investigate the relationship between the conductivity effective mass and exfoliation energy of materials to assess whether automatic sampling of the electron band structure can predict the presence of and ease of separating chemically bonded layers. We assess 22 976 materials from the Materials Project database, screen for only those that are thermodynamically stable and identify the 1000 materials with the highest standard deviation for p-type and the 1000 materials with the highest standard deviation for n-type internal conductivity effective mass tensors. We calculate the exfoliation energy of these 2000 materials and report on the correlation between effective mass and exfoliation energy. A relationship is found which is used to identify a previously unconsidered two-dimensional material and could streamline the modelling of other two-dimensional materials in the future.

Original languageEnglish
Pages (from-to)10520-10529
Number of pages10
JournalPhysical Chemistry Chemical Physics
Volume26
Issue number14
DOIs
StatePublished - 12 Mar 2024

Funding

FundersFunder number
Tel Aviv University
Science and Technology Commission of Shanghai Municipality19010500500
Science and Technology Commission of Shanghai Municipality
National Natural Science Foundation of China51950410585
National Natural Science Foundation of China

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