Materials Informatics III
portes grátis
Materials Informatics III
Polymers, Solvents and Energetic Materials
Banerjee, Arkaprava; Roy, Kunal
Springer International Publishing AG
03/2025
371
Dura
9783031787232
15 a 20 dias
Descrição não disponível.
Part 1. Introduction.- Introduction to Machine Learning for Predictive Modeling II.- Introduction to predicting properties of organic materials.- Part 2. Cheminformatic and Machine Learning Models for Polymers.- Machine Learning Applications in Polymer Informatics - An Overview.- Applications of predictive modeling for selected properties of polymers.- Polymer Property Prediction using Machine Learning.- Applications of predictive modeling for polymers.- Part 3. Cheminformatic and Machine Learning Models for Solvents.- Applications of predictive QSPR modeling for deep eutectic solvents.- Applications of predictive modeling for various properties of ionic liquids.- Part 4. Cheminformatic and Machine Learning Models for Energetic Materials.- Improving Safety with Molecular-Scale Computational Approaches for Energetic and Reactive Materials.- Predictive modeling for energetic materials.- Modeling the performance of energetic materials.- Applications of predictive modeling for energetic materials.
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Polymer Informatics;Predictive Modeling;Cheminformatics;Energetic Materials;QSPR
Part 1. Introduction.- Introduction to Machine Learning for Predictive Modeling II.- Introduction to predicting properties of organic materials.- Part 2. Cheminformatic and Machine Learning Models for Polymers.- Machine Learning Applications in Polymer Informatics - An Overview.- Applications of predictive modeling for selected properties of polymers.- Polymer Property Prediction using Machine Learning.- Applications of predictive modeling for polymers.- Part 3. Cheminformatic and Machine Learning Models for Solvents.- Applications of predictive QSPR modeling for deep eutectic solvents.- Applications of predictive modeling for various properties of ionic liquids.- Part 4. Cheminformatic and Machine Learning Models for Energetic Materials.- Improving Safety with Molecular-Scale Computational Approaches for Energetic and Reactive Materials.- Predictive modeling for energetic materials.- Modeling the performance of energetic materials.- Applications of predictive modeling for energetic materials.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
