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Anotace knihy

The contributed volume focuses on the application of machine learning and cheminformatics in predictive modeling for organic materials, polymers, solvents, and energetic materials. It provides an in-depth look at how machine learning is utilized to predict key properties of polymers, deep eutectic solvents, and ionic liquids, as well as to improve safety and performance in the study of energetic and reactive materials. With chapters covering polymer informatics, quantitative structure-property relationship (QSPR) modeling, and computational approaches, the book serves as a comprehensive resource for researchers applying predictive modeling techniques to advance materials science and improve material safety and performance.

Parametry knihy

• Plný název: Materials Informatics III
• Podnázev: Polymers, Solvents and Energetic Materials
• Autor: Kunal Roy, Arkaprava Banerjee
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 300
• EAN: 9783031787232
• ID: 46816323
• Nakladatelství: Springer, Berlin
• Hmotnost: 760 g
• Rozměry: 235 × 155 mm
• Rok vydání: 2025

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