A Strategy for Dimensionality Reduction and Data Analysis Applied to Microstructure–Property Relationships of Nanoporous Metals

Nanoporous metals, with their complex microstructure, represent an ideal candidate for the development of methods that combine physics, data, and machine learning. The preparation of nanporous metals via dealloying allows for tuning of the microstructure and macroscopic mechanical properties within...

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Detalles Bibliográficos
Autor principal: Huber, Norbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067848/
https://www.ncbi.nlm.nih.gov/pubmed/33917132
http://dx.doi.org/10.3390/ma14081822

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067848/
https://www.ncbi.nlm.nih.gov/pubmed/33917132
http://dx.doi.org/10.3390/ma14081822

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