Machine Learning in Nanoscale Materials Design From Basics to Algorithm Implementation /

This book provides a comprehensive overview of data-driven nano-scale characterization of materials. It covers the concept of accelerated computational characterization of nano-materials by individually addressing the detailed understanding of molecular dynamics simulation, machine learning, and int...

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Asıl Yazarlar:	Gupta, Kritesh Kumar (Yazar), Dey, Sudip (Yazar), Mukhopadhyay, Tanmoy (Yazar)
Müşterek Yazar:	SpringerLink (Online service)
Materyal Türü:	Elektronik Ekitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edisyon:	1st ed. 2025.
Seri Bilgileri:	Materials Horizons: From Nature to Nanomaterials,
Konular:	Nanotechnology. Machine learning. Materials science > Data processing. Chemistry, Technical. Nanoscale Design, Synthesis and Processing. Machine Learning. Computational Materials Science. Industrial Chemistry.
Online Erişim:	https://doi.org/10.1007/978-981-95-2660-4
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