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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Sábháilte in:
Sonraí bibleagrafaíochta
Údar corparáideach: SpringerLink (Online service)
Rannpháirtithe: Roy, Kunal (Eagarthóir), Banerjee, Arkaprava (Eagarthóir)
Formáid: Leictreonach Ríomhleabhar
Teanga:Béarla
Foilsithe / Cruthaithe: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Eagrán:1st ed. 2025.
Sraith:Challenges and Advances in Computational Chemistry and Physics, 40
Ábhair:
Rochtain ar líne:https://doi.org/10.1007/978-3-031-78728-7
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