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...

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Bibliographic Details
Main Author: Jain, Aarushi
Other Authors: Liu Zheng
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166730