Chin. Phys. Lett.  2021, Vol. 38 Issue (8): 086301    DOI: 10.1088/0256-307X/38/8/086301
Superconductivity in Shear Strained Semiconductors
Chang Liu1,2, Xianqi Song1, Quan Li1,2*, Yanming Ma1,2*, and Changfeng Chen3*
1State Key Lab of Superhard Materials, and International Center for Computational Methods and Software, College of Physics, Jilin University, Changchun 130012, China
2International Center of Future Science, Jilin University, Changchun 130012, China
3Department of Physics and Astronomy, University of Nevada, Las Vegas, Nevada 89154, USA
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Chang Liu, Xianqi Song, Quan Li et al  2021 Chin. Phys. Lett. 38 086301
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Abstract Semiconductivity and superconductivity are remarkable quantum phenomena that have immense impact on science and technology, and materials that can be tuned, usually by pressure or doping, to host both types of quantum states are of great fundamental and practical significance. Here we show by first-principles calculations a distinct route for tuning semiconductors into superconductors by diverse large-range elastic shear strains, as demonstrated in exemplary cases of silicon and silicon carbide. Analysis of strain driven evolution of bonding structure, electronic states, lattice vibration, and electron-phonon coupling unveils robust pervading deformation induced mechanisms auspicious for modulating semiconducting and superconducting states under versatile material conditions. This finding opens vast untapped structural configurations for rational exploration of tunable emergence and transition of these intricate quantum phenomena in a broad range of materials.
Received: 08 May 2021      Express Letter Published: 13 July 2021
  62.20.-x (Mechanical properties of solids)  
Fund: Supported by the National Key Research and Development Program of China (Grant No. 2018YFA0703400), the National Natural Science Foundation of China (Grant Nos. 12074140 and 12034009), the China Postdoctoral Science Foundation (Grant No. 2020M681031), and the Program for JLU Science and Technology Innovative Research Team (JLUSTIRT).
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Chang Liu
Xianqi Song
Quan Li
Yanming Ma
and Changfeng Chen
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