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Langue: anglais
Edité par National Defense Industry Press, 2024
ISBN 10 : 7118132497 ISBN 13 : 9787118132496
Vendeur : liu xing, Nanjing, JS, Chine
EUR 166,98
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Ajouter au panierpaperback. Etat : 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 .
EUR 299,59
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Ajouter au panierBuch. Etat : 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.