Interpretable Machine Learning Analysis of Design Factors in Hydrogel Supercapacitors

Interpretable Machine Learning Analysis of Design Factors in Hydrogel Supercapacitors

Understanding the relationships between design factors is crucial for the development of hydrogel supercapacitors, yet the relative importance and interdependencies of material properties and operating conditions remain unclear. This study employs interpretable machine learning to analyze the design...

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Bibliographic Details
Main Authors: Liying Xu, Siqi Liu, Dandan Hu, Junhao Liu, Yuze Zhang, Ziqiang Li, Zichuan Su, Daxin Liang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Gels
Subjects:
hydrogel supercapacitor
machine learning
interpretable prediction
Online Access:https://www.mdpi.com/2310-2861/11/6/464
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