Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 109,02
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EUR 124,03
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EUR 124,18
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 111,36
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 125,04
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: National Defense Industry Press, 2024
ISBN 10: 7118132497 ISBN 13: 9787118132496
Da: liu xing, Nanjing, JS, Cina
EUR 165,82
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: 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 .
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 3031787358 ISBN 13: 9783031787355
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 267,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 359,87
Quantità: 4 disponibili
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 362,37
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