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

• المؤلفون الرئيسيون: Tsymbalov, Evgenii, Shi, Zhe, Dao, Ming, Suresh, Subra, Li, Ju, Shapeev, Alexander
• مؤلفون آخرون: School of Biological Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Materials; Computational Methods; Electronic Structure
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/151933

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...