Materials Informatics II: Software Tools and Databases (Challenges and Advances in Computational Chemistry and Physics #40)

By: Kunal Roy and Arkaprava Banerjee

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Synopsis: This contributed volume explores the application of machine learning in predictive modeling within the fields of materials science, nanotechnology, and cheminformatics. It covers a range of topics, including electronic properties of metal nanoclusters, carbon quantum dots, toxicity assessments of nanomaterials, and predictive modeling for fullerenes and perovskite materials. Additionally, the book discusses multiscale modeling and advanced decision support systems for nanomaterial risk management, while also highlighting various machine learning tools, databases, and web platforms designed to predict the properties of materials and molecules. It is a comprehensive guide and a great tool for researchers working at the intersection of machine learning and material sciences.

Book Quality:: Publisher Quality
ISBN-13:: 9783031787287
Related ISBNs:: 9783031787270
Publisher:: Springer Nature Switzerland
Date of Addition:: 03/14/25
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Kunal Roy
Edited by:: Arkaprava Banerjee