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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Bibliografische gegevens
Hoofdauteurs: Yoshiki Hasukawa, Mikael Kuwahara, Fernando Garcia-Escobar, Lauren Takahashi, Toshiaki Taniike, Keisuke Takahashi
Formaat: Artikel
Taal:English
Gepubliceerd in: Taylor & Francis Group 2025-12-01
Reeks:Science and Technology of Advanced Materials: Methods
Onderwerpen:
Online toegang:https://www.tandfonline.com/doi/10.1080/27660400.2024.2441103