Materials Curation® Support System: case studies
DOI:
https://doi.org/10.51094/jxiv.391Keywords:
database of relations, validity checking with property database, materials properties, inter-relationship, examples of relationshipsAbstract
Materials Curation® Support System, which enables users to explore relationship among various materials properties, was proposed and a software-implemented prototype has been developed. The system aims to support the human’s engagement by expanding individual knowledge to wide range of materials science regardless of material categories and applications. It also helps choice of descriptors in machine learning and reasoning of machine-learned results in materials science. 15 examples of material property relations found in the system have been validated with corresponding material property values in databases, in this article.
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References
Japanese Patent #6,719,748, 19 June 2020, US patent #11,138,772 B2
Japanese Patent # 6,876,344, 28 April 2021, US patent #11,163,829 B2
Japanese Patent #7,169,685, US patent #11,449,552 B2, EP patent #3,812,923 B1
Japanese Patent #7,026,973, US patent #11,544,295 B2
Yoshitake, M.; Sato, F.; Kawano, H. Developing a Materials Curation® Support System. J. Surf. Anal. 2020, 27, 22–33. (in Japanese)
Laboratory Robotics. Available online: https://en.wikipedia.org/wiki/Laboratory_robotics (accessed on 10 January 2023).
Researchers Build Robot Scientist That Has Already Discovered a New Catalyst. Available online: https://phys.org/news/2020-07-robot-scientist-catalyst.html (accessed on 10 January 2023).
Burger, B.; Maffettone, P.M.; Gusev, V.V.; Aitchison, C.M.; Bai, Y.; Wang, X.; Li, X.; Alston, B.M.; Li, B.; Clowes, R.; et al. A mobile robotic chemist. Nature 2020, 583, 237–241.
Isayev, O.; Tropsha, A.; Curtarolo, S. (Eds.) Materials Informatics: Methods, Tools, and Applications, 1st ed.; Wiley: Weinheim, Germany, 2019.
Rajan, K. (Ed.) Informatics for Materials Science and Engineering: Data-Driven Discovery for Accelerated Experimentation and Application; Elsevier: Amsterdam, The Netherlands, 2013.
Lookman, T.; Alexander, F.J.; Rajan, K. (Eds.) Information Science for Materials Discovery and Design, 1st ed.; Springer: Berlin/Heidelberg, Germany, 2016.
Lopez-Bezanilla, A.; Littlewood, P.B. Growing field of materials informatics: Databases and artificial intelligence. MRS Commun. 2020, 10, 1–10.
Rajan, K. Materials Informatics: The Materials “Gene” and Big Data. Annu. Rev. Mater. Res. 2015, 45, 153–169.
Yoshitake, M.; Kawano, H. Materials Curation® Support System: Prototype. Published on 2023-01-19 att Jxiv, https://doi.org/10.51094/jxiv.246 (in Japanese).
吉武道子; マテリアルキュレーション：材料情報の活用による材料探索例２; 応用物理学会秋季学術講演会17p-A23-1, 2014.9.17.
国立研究開発法人 物質・材料研究機構 AtomWork-Adv (https://atomwork-adv.nims.go.jp/) （2023.5.10アクセス）
Yoshitake, M. Work Function and Band Alignment of Electrode Materials: Springer, 2021, ISSN 2197-8891 ISSN 2197-9502 (electronic), ISBN 978-4-431-56896-4 ISBN 978-4-431-56898-8 (eBook).
Hummel, R. E. Electronic Properties of Materials, 4th ed.; Springer: New York, Dordrecht Heidelberg London, 2011.
国立研究開発法人 物質・材料研究機構 PoLyInfo (https://polymer.nims.go.jp/PoLyInfo/search) （2023.5.2 アクセス)
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Submitted: 2023-05-26 05:40:33 UTC
Published: 2023-05-29 10:05:13 UTC — Updated on 2023-08-09 07:23:41 UTC
Versions
- 2023-08-09 07:23:41 UTC (2)
- 2023-05-29 10:05:13 UTC (1)
Reason(s) for revision
At the first version written, there are bags in the database PoLyInfo referred. Revise of the manuscript has been done by replacing and adding data from the PoLyInfo after the bags were fixed.License
Copyright (c) 2023
Michiko Yoshitake
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
