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Книга Materials Informatics I Kunal Roy

Materials Informatics I

Methods

Автор: Kunal Roy, Arkaprava Banerjee
Език: Английски език
Корици: С твърди корици
Издател: Springer, Berlin
Наличност: Външен склад
Изпращаме след 10-13 дни
293.49 € 574.02 лв
This contributed volume explores the integration of machine learning and cheminformatics within mate...

Информация за книгата

Автор
Kunal Roy, Arkaprava Banerjee
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2025
страници
338
EAN
9783031787355
Enbook ID
47145781
Издател
Springer, Berlin
Теглоt
628
Размери
155 x 235

Пълно описание

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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