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收藏Machine Learning-Guided Prediction of Desalination Capacity and Rate of Porous Carbons for Capacitive Deionization用于电容去离子的多孔碳的脱盐容量和速率的机器学习指导的预测
Wang, Hao; Jiang, Mingxi; Xu, Guangsheng; Wang, Chenglong; Xu, Xingtao; Liu, Yong; Li, Yuquan; Lu, Ting; Yang, Guang; Pan, Likun
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收藏In situ construction of Sn-based metal-organic frameworks on MXene achieving fast electron transfer for rapid lithium storage
Yang, Zihao; Weng, Chaocang; Gao, Xiaoyan; Meng, Fanyue; Ji, Yingying; Li, Jiabao; Lu, Ting; Li, Jinliang; Wang, Jiachen; Pan, Likun
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收藏Hydrogen-Bonded Organic Framework Derived 2D N, O Co-Doped Carbon Nanobelt with Tunable Pseudocapacitive Contribution for Efficient Capacitive Deionization氢键有机框架衍生的2D N,O共掺杂碳纳米带,具有可调的伪电容贡献,可用于有效的电容去离子
Meng, Fanyue; Liu, Yong; Ding, Zibiao; Xu, Liming; Wang, Hao; Xu, Xingtao; Liu, Xinjuan; Lu, Ting; Pan, Likun
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收藏A machine learning-assisted study on organic solvents in electrolytes for expanding the electrochemical stable window of zinc-ion batteries用于扩大锌离子电池电化学稳定窗口的电解质中有机溶剂的机器学习辅助研究
Xu, Guangsheng; Zhang, Yajuan; Jiang, Mingxi; Li, Jinliang; Sun, Hengchao; Li, Jiabao; Lu, Ting; Wang, Chenglong; Yang, Guang; Pan, Likun
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