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Materials Informatics: Methods, Tools, and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 91.81
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Materials Informatics : Methods, Tools, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Materials Informatics : Methods, Tools, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 105.17
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Materials informatics methods. tools and new materials applications(Chinese Edition)
Language: English
Published by National Defense Industry Press, 2024
ISBN 10: 7118132497 ISBN 13: 9787118132496
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-12 Pages: 280 Publisher: National Defense Industry Press This book is co-authored by Professors Olexandriayev. Alexander Troha and Tefano Curtarolo. It is a new book that systematically introduces materials informatics. The content covers two parts: methods and tools of materials informatics. applicable aspects and application fields. It is divided into 9 chapters. The content of this book is clearly structured. from bottom to top. step by step. and .
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Materials Informatics I : Methods
Language: English
Published by Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 3031787358 ISBN 13: 9783031787355
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contributed volume explores the integration of machine learning and cheminformatics within materials science, focusing on predictive modeling techniques. It begins with foundational concepts in materials informatics and cheminformatics, emphasizing quantitative structure-property relationships (QSPR). The volume then presents various methods and tools, including advanced QSPR models, quantitative read-across structure-property relationship (q-RASPR) models, optimization strategies with minimal data, and in silico studies using different descriptors. Additionally, it explores machine learning algorithms and their applications in materials science, alongside innovative modeling approaches for quantum-theoretic properties. Overall, the book serves as a comprehensive resource for understanding and applying machine learning in the study and development of advanced materials and is a useful tool for students, researchers and professionals working in these areas.
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Condition: New.
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Materials Informatics I | Methods
Language: English
Published by Springer Nature Switzerland, 2025
ISBN 10: 3031787358 ISBN 13: 9783031787355
Buch. Condition: Neu. Materials Informatics I | Methods | Arkaprava Banerjee (u. a.) | Buch | xvii | Englisch | 2025 | Springer Nature Switzerland | EAN 9783031787355 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
