Artificial Intelligence for Materials Informatics, Gebunden
Artificial Intelligence for Materials Informatics
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- S. Sachin Kumar, Neelesh Ashok, N. Sukumar, Neethu Mohan, K. P. Soman, Sabu Thomas
- Verlag:
- Springer, 07/2025
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9783031899829
- Artikelnummer:
- 12419365
- Umfang:
- 260 Seiten
- Gewicht:
- 557 g
- Maße:
- 241 x 160 mm
- Stärke:
- 20 mm
- Erscheinungstermin:
- 30.7.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.
Biografie (Sabu Thomas)
Sabu Thomas is a Professor of Polymer Science and Engineering at Mahatma Gandhi University (India). He is a Fellow of the Royal Society of Chemistry and a Fellow of the New York Academy of Sciences. Thomas has published over 300 papers in peer reviewed journals on his polymer composite, membrane separation, polymer blend and alloy, and polymer recycling research and has edited several books.