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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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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Kaituhi rangatōpū: SpringerLink (Online service)
Ētahi atu kaituhi: Roy, Kunal (Editor), Banerjee, Arkaprava (Editor)
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Putanga:1st ed. 2025.
Rangatū:Challenges and Advances in Computational Chemistry and Physics, 40
Ngā marau:
Chemoinformatics.
Materials.
Chemistry.
Computer simulation.
Machine learning.
Artificial intelligence.
Cheminformatics.
Computational Design Of Materials.
Machine Learning.
Artificial Intelligence.
Urunga tuihono:https://doi.org/10.1007/978-3-031-78728-7
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Ipurangi

https://doi.org/10.1007/978-3-031-78728-7

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