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Carte Materials Informatics I Kunal Roy

Materials Informatics I

Methods

Autor: Kunal Roy, Arkaprava Banerjee
Limbă: engleză
Legare: Copertă tare
Editura: Springer, Berlin
Disponibilitate: În depozitul extern
Expediem în 10-13 zile
1 537.78 lei
This contributed volume explores the integration of machine learning and cheminformatics within mate...

Informații despre carte

Autor
Kunal Roy, Arkaprava Banerjee
Limbă
engleză
Legare
Carte - Copertă tare
Publicat
2025
Pagini
338
EAN
9783031787355
Enbook ID
47145781
Editura
Springer, Berlin
Greutate
628
Dimensiuni
155 x 235

Descriere completă

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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