Machine learning guided prediction of electronic and magnetic properties of 2D transition metal dichalcogenide alloys

In this work, machine learning is used to predict the electronic, magnetic and thermodynamic properties of 2-dimensional transition metal dichalcogenides (TMD) and its alloys. TMDs have attracted great interest due to their highly applicability in modern-day transistors, sensors, photodetectors and...

全面介绍

书目详细资料
主要作者: Jain, Aarushi
其他作者: Liu Zheng
格式: Final Year Project (FYP)
语言:English
出版: Nanyang Technological University 2023
主题:
在线阅读:https://hdl.handle.net/10356/166730