BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
Materials Informatics II
Software Tools and Databases
Springer
ISBN 978-3-031-78727-0
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2025
7 s/w-Abbildungen, 95 Farbabbildungen.
In englischer Sprache
Umfang: xvi, 297 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-031-78727-0
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Challenges and Advances in Computational Chemistry and Physics
Produktbeschreibung
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.
Autorinnen und Autoren
Kundeninformationen
Features software tools and databases for material property prediction and risk management Intergrates machine learning techniques with materials science for predictive modeling Presents case studies on nanomaterials, quantum dots, and perovskites
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