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Open access Aug 2026

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Fundamental battery research is constrained by the time‐consuming process of long‐term charge–discharge cycling stability testing. Here, we introduce DeepBat, a deep learning framework designed to shorten cycling tests by achieving accurate, long‐horizon prediction of cycle‐level capacities under limited data condition...

Tao Huang, Bing Sun, Zhi-Gang Chen et al. · 0 citations
Open access Aug 2026

Disentangling Elemental Roles in an Amorphous Medium‐Entropy Electrocatalyst for Oxygen Evolution

ABSTRACT Understanding elemental cooperation in high/medium‐entropy electrocatalysts is essential for rational design but remains challenging due to their compositional complexity. Herein, an amorphous medium‐entropy catalyst, FeCoNiMo‐a, with a nanoring architecture, is developed as a highly active and durable oxygen...

Jin-Hu Wu, Xianjun Cao, Cheng Gong et al. · 0 citations

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