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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8510221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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