Preprint / Version 1

Material Curation® Support System: Prototype

##article.authors##

  • Michiko Yoshitake Research Center for Functional Materials, National Institute for Material Science https://orcid.org/0000-0002-0973-5666
  • Hiroyuki Kawano Business Science Unit,Ridgelinez Limited

DOI:

https://doi.org/10.51094/jxiv.246

Keywords:

materials property, inter-relationship, multi-disciplinary, natural language processing, database of relations

Abstract

Authors have been proposed Material Curation® Support System and developed a prototype, which helps users to explore huge space for materials search without thinking inside the box or without being a slave to custom inside segmentalized areas of expertise. Even with the aid of machine learning, high-throughput syntheses & measurement, and autonomous system that combines automated experimentation and machine learning, human’s engagement is essential for materials R&D. The support system aims to support the human’s engagement by expanding individual knowledge to wide range of materials science regardless of material categories and applications. Concrete explanations on the main functions of the prototype are described using dump screens of the prototype. The supposed situations for the use of the functions are also illustrated with examples.

Conflicts of Interest Disclosure

Yoshitake declares no potential conflict of interests. Kawano declares no potential conflict of interests.

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Posted


Submitted: 2023-01-16 06:03:02 UTC

Published: 2023-01-19 05:42:18 UTC
Section
Nanosciences & Materials Sciences