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Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges

In the design and development of novel materials that have excellent mechanical properties, classification and regression methods have been diversely used across mechanical deformation simulations or experiments. The use of materials informatics methods on large data that originate in experiments or...

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Autores principales: Frydrych, Karol, Karimi, Kamran, Pecelerowicz, Michal, Alvarez, Rene, Dominguez-Gutiérrez, Francesco Javier, Rovaris, Fabrizio, Papanikolaou, Stefanos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510221/
https://www.ncbi.nlm.nih.gov/pubmed/34640157
http://dx.doi.org/10.3390/ma14195764
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author Frydrych, Karol
Karimi, Kamran
Pecelerowicz, Michal
Alvarez, Rene
Dominguez-Gutiérrez, Francesco Javier
Rovaris, Fabrizio
Papanikolaou, Stefanos
author_facet Frydrych, Karol
Karimi, Kamran
Pecelerowicz, Michal
Alvarez, Rene
Dominguez-Gutiérrez, Francesco Javier
Rovaris, Fabrizio
Papanikolaou, Stefanos
author_sort Frydrych, Karol
collection PubMed
description In the design and development of novel materials that have excellent mechanical properties, classification and regression methods have been diversely used across mechanical deformation simulations or experiments. The use of materials informatics methods on large data that originate in experiments or/and multiscale modeling simulations may accelerate materials’ discovery or develop new understanding of materials’ behavior. In this fast-growing field, we focus on reviewing advances at the intersection of data science with mechanical deformation simulations and experiments, with a particular focus on studies of metals and alloys. We discuss examples of applications, as well as identify challenges and prospects.
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spelling pubmed-85102212021-10-13 Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges Frydrych, Karol Karimi, Kamran Pecelerowicz, Michal Alvarez, Rene Dominguez-Gutiérrez, Francesco Javier Rovaris, Fabrizio Papanikolaou, Stefanos Materials (Basel) Review In the design and development of novel materials that have excellent mechanical properties, classification and regression methods have been diversely used across mechanical deformation simulations or experiments. The use of materials informatics methods on large data that originate in experiments or/and multiscale modeling simulations may accelerate materials’ discovery or develop new understanding of materials’ behavior. In this fast-growing field, we focus on reviewing advances at the intersection of data science with mechanical deformation simulations and experiments, with a particular focus on studies of metals and alloys. We discuss examples of applications, as well as identify challenges and prospects. MDPI 2021-10-02 /pmc/articles/PMC8510221/ /pubmed/34640157 http://dx.doi.org/10.3390/ma14195764 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Frydrych, Karol
Karimi, Kamran
Pecelerowicz, Michal
Alvarez, Rene
Dominguez-Gutiérrez, Francesco Javier
Rovaris, Fabrizio
Papanikolaou, Stefanos
Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges
title Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges
title_full Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges
title_fullStr Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges
title_full_unstemmed Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges
title_short Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges
title_sort materials informatics for mechanical deformation: a review of applications and challenges
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510221/
https://www.ncbi.nlm.nih.gov/pubmed/34640157
http://dx.doi.org/10.3390/ma14195764
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