XGBoost-based prediction of electrical properties for anode aluminium foil

• Published in: Materials today communications Vol. 41; p. 110400
• Main Authors: Zhang, Yue, Pan, Sining
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2024
• Subjects: Anode aluminium foil; Energy storage; Feature engineering; Properties prediction; XGBoost; Anode aluminium foil; Feature engineering; XGBoost; Properties prediction; Energy storage

Anode aluminium foil (AAF) shows advantages such as high electrical conductivity, high specific capacitance, and low cost, making it a high-quality electrode material for energy storage. However, the formation of AAF is a material process with multiple influencing factors interacted with each other,...