Machine learning for deep elastic strain engineering of semiconductor electronic band structure and effective mass
<jats:title>Abstract</jats:title><jats:p>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 an...
Main Authors: | , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC
2021
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Online Access: | https://hdl.handle.net/1721.1/135630 |
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Machine learning for deep elastic strain engineering of semiconductor electronic band structure and effective mass
Published 2021
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Journal Article