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Könyv Materials Informatics I Kunal Roy

Materials Informatics I

Methods

Szerző: Kunal Roy, Arkaprava Banerjee
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer, Berlin
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
109 520 Ft
This contributed volume explores the integration of machine learning and cheminformatics within mate...

Információk a könyvről

Szerző
Kunal Roy, Arkaprava Banerjee
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2025
oldal
338
EAN
9783031787355
Enbook ID
47145781
Kiadó
Springer, Berlin
Súly
628
Méretek
155 x 235

Teljes leírás

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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