Abstract
The state-of-the-art knowledge of ferroelectric and ferroelastic group-IV monochalcogenide monolayers is surveyed. These semiconductors feature remarkable structural and mechanical properties, such as a switchable in-plane spontaneous polarization, soft elastic constants, structural degeneracies, and thermally driven two-dimensional structural transformations. Additionally, these 2D materials display selective valley excitations, valley Hall effects, and persistent spin helix behavior. After a description of their Raman spectra, a discussion of optical properties arising from their lack of centrosymmetry (such as an unusually strong second-harmonic intensity, large bulk photovoltaic effects, photostriction, and tunable exciton binding energies) is provided as well. The physical properties observed in these materials originate from (correlate with) their intrinsic and switchable electric polarization, and the physical behavior hereby reviewed could be of use in nonvolatile memory, valleytronic, spintronic, and optoelectronic devices: these 2D multiferroics enrich and diversify the 2D material toolbox.
| Original language | English |
|---|---|
| Article number | 011001 |
| Journal | Reviews of Modern Physics |
| Volume | 93 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 10 2021 |
| Externally published | Yes |
Funding
We thank L. Bellaiche, L. Fu, P. Kumar, J. E. Moore, T. Rangel, and L. V. Titova. S. B.-L. and J. W. V. acknowledge funding from the U.S. Department of Energy, Office of Basic Energy Sciences (Early Career Award No. DE-SC0016139). B. M. F. is funded by the U.S. National Science Foundation (Grant No. DMR-2015639). S. S. P. P. was supported by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Project No. PA 1812/2-1. K. C. acknowledges support from the National Natural Science Foundation of China (Grant No. 12074038). Computational support was provided by NERSC (a DOE computational facility funded under Contract No. DE-AC02-05CH11231). Additional calculations were performed at the University of Arkansas’s Trestles and Pinnacle supercomputers, funded by the U.S. National Science Foundation (Grants No. 0722625, No. 0959124, No. 0963249, and No. 0918970), a grant from the Arkansas Economic Development Commission, and the Office of the Vice Provost for Research and Innovation.
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