Machine Learning in 2D Materials Science

ISBN 10: 0367678209 / ISBN 13: 9780367678203

Edité par CRC Press, 2023

In. N° de réf. du vendeur ria9780367678203_new

Synopsis :

This book provides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projects.

À propos de l?auteur:

Parvathi Chundi, PhD is Professor of Computer Science, University of Nebraska-Omaha. Prior to Omaha, Dr. Chundi was with Agilent Technologies and HP Labs, both in Palo Alto, CA.

Venkataramana Gadhamshetty, PhD, PE is Professor of Environmental Engineering in Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology. He is a cofounder of 2D materials for Biofilm Science Engineering and Technology (2DBEST) center and 2D materials laboratory (2DML) at SDSM&T.

Bharat K. Jasthi, PhD is Associate Professor, Department of Materials and Metallurgical Engineering, South Dakota School of Mines and Technology. Dr. Jasthi has research expertise in the areas of microstructural modification, structure property correlation, new alloy development, powder metallurgy, additive manufacturing, and development of engineered surface thin films and coatings for a wide range of applications.

Carol Lushbough, MA is an Emeritus Professor of Computer Science, University of South Dakota.

Détails bibliographiques

Titre : Machine Learning in 2D Materials Science
Éditeur : CRC Press
Date d'édition : 2023
Reliure : Couverture rigide
Etat : New