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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Prif Awduron:	Gupta, Kritesh Kumar (Awdur), Dey, Sudip (Awdur), Mukhopadhyay, Tanmoy (Awdur)
Awdur Corfforaethol:	SpringerLink (Online service)
Fformat:	Electronig eLyfr
Iaith:	Saesneg
Cyhoeddwyd:	Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Rhifyn:	1st ed. 2025.
Cyfres:	Materials Horizons: From Nature to Nanomaterials,
Pynciau:	Nanotechnology. Machine learning. Materials science > Data processing. Chemistry, Technical. Nanoscale Design, Synthesis and Processing. Machine Learning. Computational Materials Science. Industrial Chemistry.
Mynediad Ar-lein:	https://doi.org/10.1007/978-981-95-2660-4
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!