Machine Learning in 2D Materials Science - Softcover

Softcover

ISBN 10: 0367678217 ISBN 13: 9780367678210

Verlag: CRC Press, 2025

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

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.

Details zur Ausgabe

• Verlag: CRC Press
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 0367678217
• ISBN 13: 9780367678210
• Einband: Taschenbuch
• Anzahl der Seiten: 250
• Herausgeber: Chundi Parvathi, Gadhamshetty Venkataramana, Jasthi Bharat K.
• Kontakt zum Hersteller: CRC Press; https://www.routledge-ny.com; ; 6000 BROKEN SOUND PARKWAY, NW SUITE 300; BOCA RATON; FL; 33487; USA
• Verantwortliche Person: Buchbär; info@buchbaer.de; ; Weberstr. 67; Osnabrück; 49084; Deutschland