Machine learning for deep elastic strain engineering of semiconductor electronic band structure and effective mass
Abstract The controlled introduction of elastic strains is an appealing strategy for modulating the physical properties of semiconductor materials. With the recent discovery of large elastic deformation in nanoscale specimens as diverse as silicon and diamond, employing this strategy to improve devi...
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| Huvudupphov: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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Nature Portfolio
2021-05-01
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| Serie: | npj Computational Materials |
| Länkar: | https://doi.org/10.1038/s41524-021-00538-0 |
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