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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Main Author: | Jain, Aarushi |
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Other Authors: | Liu Zheng |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/166730 |
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Institution: | Nanyang Technological University |
Language: | English |
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