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Materials Informatics II Software Tools and Databases /

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 na...

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Соавтор:	SpringerLink (Online service)
Другие авторы:	Roy, Kunal (Редактор), Banerjee, Arkaprava (Редактор)
Формат:	Электронный ресурс eКнига
Язык:	английский
Опубликовано:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Редактирование:	1st ed. 2025.
Серии:	Challenges and Advances in Computational Chemistry and Physics, 40
Предметы:	Chemoinformatics. Materials. Chemistry. Computer simulation. Machine learning. Artificial intelligence. Cheminformatics. Computational Design Of Materials. Machine Learning. Artificial Intelligence.
Online-ссылка:	https://doi.org/10.1007/978-3-031-78728-7
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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