Materials Informatics I Methods /

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...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Roy, Kunal (Editor), Banerjee, Arkaprava (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edition:	1st ed. 2025.
Series:	Challenges and Advances in Computational Chemistry and Physics, 39
Subjects:	Chemoinformatics. Materials. Chemistry. Computer simulation. Machine learning. Artificial intelligence. Cheminformatics. Computational Design Of Materials. Machine Learning. Artificial Intelligence.
Online Access:	https://doi.org/10.1007/978-3-031-78736-2
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