Orbital design of topological insulators from two-dimensional semiconductors
Source abstract
Abstract
Two-dimensional (2D) materials have attracted much attention because they exhibit various intrinsic properties, which are, however, usually not interchangeable. Here we propose a generic approach to convert 2D semiconductors to 2D topological insulators (TIs) via atomic adsorption. The approach is underlined by an orbital design principle that involves introducing an extrinsic s-orbital state of the adsorbate into the intrinsic sp-bands of a 2D semiconductor, so as to induce s-p band inversion for a TI phase, as demonstrated by tight-binding model analyses. Based on first-principles calculations, we successfully apply this approach to convert CuS, CuSe and CuTe into TIs by adsorbing one adatom per unit cell of Na, Na0.5K0.5 and K as well as Rb and Cs. Moreover, if the chalcogens in the 2D semiconductor have a decreasing ability of accepting electrons, the adsorbates should have an increasing ability of donating electrons. Our findings open a new door to discovering TIs by predictive material design beyond finding preexisting TIs.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Topological Materials and Phenomena · Graphene research and applications · 2D Materials and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Physics & University of Chinese Academy of Sciences
Chinese Academy of Sciences
Beijing 100190
P.R. China
School of Information and Electronics
Department of Materials Science and Engineering
University of Utah
Salt Lake City
USA
CAS Center for Excellence in Topological Quantum Computation
Funding
National Basic Research Program of China · Chinese Academy of Sciences · National Natural Science Foundation of China · Beijing Nova Program · U.S. Department of Energy
References (27)
Show source-provided references
1. Sarma · Rev. Mod. Phys. · 2011 · 83 · 40710.1103/RevModPhys.83.407 ↗
2. Geim · Nature · 2013 · 499 · 41910.1038/nature12385 ↗
3. Wang · Wiley Interdiscip. Rev.: Comput. Mol. Sci. · 2017 · 7 · e1304
4. Li · Chem. Soc. Rev. · 2018 · 47 · 607310.1039/C8CS00286J ↗
5. Novoselov · Nature · 2005 · 438 · 19710.1038/nature04233 ↗
6. Zhang · Nature · 2005 · 438 · 20110.1038/nature04235 ↗
7. Xia · Nat. Commun. · 2014 · 5 · 445810.1038/ncomms5458 ↗
8. Novoselov · Proc. Natl. Acad. Sci. U. S. A. · 2005 · 102 · 1045110.1073/pnas.0502848102 ↗
9. Kane · Phys. Rev. Lett. · 2005 · 95 · 22680110.1103/PhysRevLett.95.226801 ↗
10. Bernevig · Science · 2006 · 314 · 175710.1126/science.1133734 ↗
11. Reis · Science · 2017 · 357 · 28710.1126/science.aai8142 ↗
12. Kou · J. Phys. Chem. Lett. · 2017 · 8 · 190510.1021/acs.jpclett.7b00222 ↗
13. Wang · Chin. Phys. Lett. · 2012 · 29 · 03740210.1088/0256-307X/29/3/037402 ↗
14. Huang · Nature · 2017 · 546 · 27010.1038/nature22391 ↗
15. Wang · Phys. Rev. Lett. · 2013 · 110 · 19680110.1103/PhysRevLett.110.196801 ↗
16. Wang · Nat. Commun. · 2013 · 4 · 147110.1038/ncomms2451 ↗
17. Zhang · Nano Lett. · 2017 · 17 · 616610.1021/acs.nanolett.7b02795 ↗
18. Jin · Science · 2017 · 357 · 67310.1126/science.aan0202 ↗
19. Si · Phys. Rev. Lett. · 2013 · 111 · 19680210.1103/PhysRevLett.111.196802 ↗
20. Huang · Phys. Rev. Lett. · 2015 · 115 · 12680610.1103/PhysRevLett.115.126806 ↗
21. Tan · Chem. Rev. · 2017 · 117 · 622510.1021/acs.chemrev.6b00558 ↗
22. Wang · Phys. Rev. B: Condens. Matter Mater. Phys. · 2011 · 83 · 04140310.1103/PhysRevB.83.041403 ↗
23. Zhang · Appl. Phys. Lett. · 2011 · 99 · 24190810.1063/1.3666856 ↗
24. Si · Nanoscale · 2016 · 8 · 320710.1039/C5NR07755A ↗
25. Wang · Nat. Commun. · 2016 · 7 · 1274610.1038/ncomms12746 ↗
26. Lin · Nat. Mater. · 2017 · 16 · 71710.1038/nmat4915 ↗
27. Gao · Adv. Mater. · 2018 · 30 · 170705510.1002/adma.201707055 ↗