Roy K Materials Informatics I Methods 2025
General:
Name: Roy K Materials Informatics I Methods 2025
Format: pdf
Size: 11.29 MB
Book:
Title: Materials Informatics I
Author: Kunal Roy
Language: polski
Year: 2025
Subjects: Science & Technology, Chemistry, Chemistry – General & Miscellaneous
Publisher: Springer-Verlag New York, LLC
ISBN: 9783031787362
Total pages: 305
Description:
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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