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

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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Bibliographic Details
Main Author: Norbert Huber
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Materials
Subjects:
nanoporous metals
open-pore foams
FE-beam model
data mining
mechanical properties
hardness
Online Access:https://www.mdpi.com/1996-1944/14/8/1822

Internet

https://www.mdpi.com/1996-1944/14/8/1822

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