Machine learning driven prediction of lattice constants in transition metal dichalcogenides

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...

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Bibliographic Details
Main Authors: Bhupendra Sharma, Laxman Chaudhary, Rajendra Adhikari, Madhav Prasad Ghimire
Format: Article
Language:English
Published: Department of Physics, Mahendra Morang Adarsh Multiple Campus, Tribhuvan University 2023-11-01
Series:Bibechana
Subjects:
Machine learning
Artificial intelligence
Gradient Boosting Regression
Gradient Descent
RMSE
MAE
Online Access:https://www.nepjol.info/index.php/BIBECHANA/article/view/57732

Internet

https://www.nepjol.info/index.php/BIBECHANA/article/view/57732

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