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Materials Informatics III Polymers, Solvents and Energetic Materials /

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...

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Dettagli Bibliografici
Ente Autore:	SpringerLink (Online service)
Altri autori:	Roy, Kunal (Redattore), Banerjee, Arkaprava (Redattore)
Natura:	Elettronico eBook
Lingua:	inglese
Pubblicazione:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edizione:	1st ed. 2025.
Serie:	Challenges and Advances in Computational Chemistry and Physics, 41
Soggetti:	Chemoinformatics. Machine learning. Materials. Catalysis. Force and energy. Materials science > Data processing. Nanochemistry. Cheminformatics. Machine Learning. Materials for Energy and Catalysis. Computational Materials Science.
Accesso online:	https://doi.org/10.1007/978-3-031-78724-9
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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