You might also like

More about Materials Informatics III

• Book details
• Synopsis
• Trending among others

You get 547 loyalty points

Book synopsis

This 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.

Book details

• Full title: Materials Informatics III
• Subtitle: Polymers, Solvents and Energetic Materials.DE
• Author: Kunal Roy, Arkaprava Banerjee
• Series: Challenges and Advances in Computational Chemistry and Physics,
• Language: English
• Binding: Paperback
• Number of pages: 371
• EAN: 9783031787263
• ID: 52997014
• Publisher: Springer, Berlin
• Weight: 587 g
• Dimensions: 235 × 155 mm
• Date of publishing: 02. March 2026

Trending among others

---

---

---