Artificial Intelligence for Materials Informatics

Kumar, S. Sachin (EDT); Ashok, Neelesh (EDT); Sukumar, N. (EDT); Mohan, Neethu (EDT); Soman, K. P. (EDT)

ISBN 10: 3031899822 / ISBN 13: 9783031899829

Verlag: Springer, 2025

Bestandsnummer des Verkäufers 50898972-n

Inhaltsangabe:

This comprehensive book explores the transformative impact of AI on materials informatics, delving into machine learning/deep learning, and material knowledge representation. Embracing the transformative power of artificial intelligence (AI), the field of materials informatics has witnessed a remarkable revolution in its methodology and applications.  AI has revolutionized the field of materials informatics, enabling researchers to discover, design, and optimize materials with enhanced properties at an accelerated pace. It showcases how AI is accelerating materials discovery, property prediction, providing case studies, and a comprehensive bibliography for further exploration. This essential resource equips researchers, scientists, and engineers with the knowledge and tools to harness the power of AI for groundbreaking advancements in materials science.

Von der hinteren Coverseite:

This comprehensive book explores the transformative impact of AI on materials informatics, delving into machine learning/deep learning, and material knowledge representation. Embracing the transformative power of artificial intelligence (AI), the field of materials informatics has witnessed a remarkable revolution in its methodology and applications.  AI has revolutionized the field of materials informatics, enabling researchers to discover, design, and optimize materials with enhanced properties at an accelerated pace. It showcases how AI is accelerating materials discovery, property prediction, providing case studies, and a comprehensive bibliography for further exploration. This essential resource equips researchers, scientists, and engineers with the knowledge and tools to harness the power of AI for groundbreaking advancements in materials science.

Bibliografische Details

Titel: Artificial Intelligence for Materials ...
Verlag: Springer
Erscheinungsdatum: 2025
Einband: Hardcover
Zustand: New