Materials Informatics I : Methods

Language: English

Published by Springer, 2025

3031787358 / 9783031787355

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.

Seller Inventory # 9783031787355

Title
Materials Informatics I : Methods
Author
Arkaprava Banerjee
Publisher
Springer
Publication year
2025
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031787358
ISBN 13
9783031787355
Item weight
683 grams
Dimensions
241x160x22 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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