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Tool for Designing Breakthrough Discovery in Materials Science
A database of material property relationships, which serves as a scientific principles database, and a database search system are proposed and developed. The use of this database can support a broader research perspective, which is increasingly important in the era of automated computer-aided experi...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617740/ https://www.ncbi.nlm.nih.gov/pubmed/34832348 http://dx.doi.org/10.3390/ma14226946 |
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author | Yoshitake, Michiko |
author_facet | Yoshitake, Michiko |
author_sort | Yoshitake, Michiko |
collection | PubMed |
description | A database of material property relationships, which serves as a scientific principles database, and a database search system are proposed and developed. The use of this database can support a broader research perspective, which is increasingly important in the era of automated computer-aided experimentation and machine learning of experimental and calculated data. Examples of the wider use of scientific principles in materials research are presented. The database and its advantages are described. An implementation of the proposed database and search system as a prototype software is reported. The usefulness of the database and search system is demonstrated by an example of a surprising but reasonable discovery. |
format | Online Article Text |
id | pubmed-8617740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86177402021-11-27 Tool for Designing Breakthrough Discovery in Materials Science Yoshitake, Michiko Materials (Basel) Article A database of material property relationships, which serves as a scientific principles database, and a database search system are proposed and developed. The use of this database can support a broader research perspective, which is increasingly important in the era of automated computer-aided experimentation and machine learning of experimental and calculated data. Examples of the wider use of scientific principles in materials research are presented. The database and its advantages are described. An implementation of the proposed database and search system as a prototype software is reported. The usefulness of the database and search system is demonstrated by an example of a surprising but reasonable discovery. MDPI 2021-11-17 /pmc/articles/PMC8617740/ /pubmed/34832348 http://dx.doi.org/10.3390/ma14226946 Text en © 2021 by the author. 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 | Article Yoshitake, Michiko Tool for Designing Breakthrough Discovery in Materials Science |
title | Tool for Designing Breakthrough Discovery in Materials Science |
title_full | Tool for Designing Breakthrough Discovery in Materials Science |
title_fullStr | Tool for Designing Breakthrough Discovery in Materials Science |
title_full_unstemmed | Tool for Designing Breakthrough Discovery in Materials Science |
title_short | Tool for Designing Breakthrough Discovery in Materials Science |
title_sort | tool for designing breakthrough discovery in materials science |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8617740/ https://www.ncbi.nlm.nih.gov/pubmed/34832348 http://dx.doi.org/10.3390/ma14226946 |
work_keys_str_mv | AT yoshitakemichiko toolfordesigningbreakthroughdiscoveryinmaterialsscience |