Machine learning for deep elastic strain engineering of semiconductor electronic band structure and effective mass

• Main Authors: Tsymbalov, Evgenii, Shi, Zhe, Dao, Ming, Suresh, Subra, Li, Ju, Shapeev, Alexander
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Materials; Computational Methods; Electronic Structure
• Online Access: https://hdl.handle.net/10356/151933
• Institution: Nanyang Technological University

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 device perfor...