Machine learning driven prediction of lattice constants in transition metal dichalcogenides
Machine learning represents an emerging branch of artificial intelligence, centering on the enhancement of algorithms in computer programs through the utilization of data and the accumulation of research-driven knowledge. The requirement for artificial intelligence in materials science is essential...
Main Authors: | Bhupendra Sharma, Laxman Chaudhary, Rajendra Adhikari, Madhav Prasad Ghimire |
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Format: | Article |
Language: | English |
Published: |
Department of Physics, Mahendra Morang Adarsh Multiple Campus, Tribhuvan University
2023-11-01
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Series: | Bibechana |
Subjects: | |
Online Access: | https://www.nepjol.info/index.php/BIBECHANA/article/view/57732 |
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