| About this Abstract |
| Meeting |
TMS Specialty Congress 2025
|
| Symposium
|
Joint Sessions of AIM, ICME, & 3DMS
|
| Presentation Title |
Pinax: A Machine Learning Platform for Data-Driven Materials Development |
| Author(s) |
Satoshi Minamoto, Takuya Kadohira, Masahiko Demura |
| On-Site Speaker (Planned) |
Satoshi Minamoto |
| Abstract Scope |
The National Institute for Materials Science (NIMS) is developing a robust platform to accelerate data-driven materials research. To date, NIMS has built an ecosystem that includes “RDE”, an IoT-based data collection infrastructure; "MatNavi", a comprehensive materials database; and "MInt", a computational platform for solving complex scientific problems. Recently, we have developed "pinax", which functions as a centralized hub for data aggregation and machine learning playground. This platform provides advanced analysis provenance management, which improves the efficiency, reproducibility, and accuracy of model development. We aim to strengthen the interaction between these platforms and maximize the comprehensive capabilities of the research ecosystem. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |