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Machine learning driven design of polymer dielectrics for high temperature capacitive energy storage

Energy Environ. Sci., 2026, Advance Article
DOI: 10.1039/D6EE01953F, Paper
Dongduan Liu, Ruojie Cheng, Qiao Li, Feng Wang, Yongqiu Li, Hongxiao Yang, Mingfeng Shen, Qian Zhou, Jinliang He, Qi Li, Chao Yuan
A machine learning-driven high-throughput screening framework for discovering high-performance high-temperature energy storage dielectric materials.
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Disentangling the activity–charge coupling in cocatalyst–semiconductor heterojunctions for optimized oxygen evolution

Energy Environ. Sci., 2026, Advance Article
DOI: 10.1039/D6EE00362A, Paper
Ying Liu, Min Zhou, Guanhua Ren, Peijun Hu, Haifeng Wang
Decoupling cocatalyst effects in photocatalysis, often intertwined between enhancing photocarrier accumulation and boosting intrinsic catalytic activity (ICA), is essential yet challenging for the rational design of photocatalysts.
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Lattice reconstruction strategy for fast-charging plateau-type hard carbon anodes in ultra-long-life sodium-ion batteries

Energy Environ. Sci., 2026, 19,3640-3652
DOI: 10.1039/D6EE00708B, Paper
Feng Wang, Lian Chen, Fan Li, Yongben Zheng, Jiaqi Wei, Caozheng Diao, Ihor Radchenko, Jie Shi, Linwei Li, Jingshu Wang, Zhengshuai Bai, Yanyan Zhang, Oleksandr I. Malyi, Xiaodong Chen, Yuxin Tang
By decoupling defect passivation and graphitization, lattice reconstruction of hard carbon yields large interlayer spacing, small crystallites, and an inorganic-rich SEI, enabling superior fast-charging in ultra-long-life sodium-ion batteries.
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