Web-based graphical user interface for automated materials feature engineering for machine learning

Web-based graphical user interface for automated materials feature engineering for machine learning

Designing descriptors for materials and catalysts within machine learning is a complex process. In particular, material compositions can be represented using information from the periodic table. Additionally, feature engineering and feature selection add further complexity, requiring significant pro...

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Bibliographic Details
Main Authors: Yoshiki Hasukawa, Mikael Kuwahara, Fernando Garcia-Escobar, Lauren Takahashi, Toshiaki Taniike, Keisuke Takahashi
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Science and Technology of Advanced Materials: Methods
Subjects:
Materials Informatics
Machine learning
graphical user interface
Feature engineering
Online Access:https://www.tandfonline.com/doi/10.1080/27660400.2024.2441103

Internet

https://www.tandfonline.com/doi/10.1080/27660400.2024.2441103

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