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Wu, B. (author), Lewis, R.W. (author), Li, G. (author), Gao, Yifan (author), Fan, B. (author), Klemm, B. (author), Huang, J. (author), Wang, Junyou (author), Cohen Stuart, Martien A. (author), Eelkema, R. (author)
In the quest for stimuli-responsive materials with specific, controllable functions, coacervate hydrogels have become a promising candidate, featuring sensitive responsiveness to environmental signals enabling control over sol-gel transitions. However, conventional coacervation-based materials are regulated by relatively non-specific signals,...
journal article 2023
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Mao, Pengcheng (author), Fan, Huilin (author), Liu, Chang (author), Lan, Gongxu (author), Huang, Wei (author), Li, Zhipeng (author), Amin Hassan, H.M. (author), Zheng, Runguo (author), Wang, Zhiyuan (author), Sun, Hongyu (author), Liu, Yanguo (author)
Thanks to the low cost and earth's abundant potassium resources, potassium ion batteries (PIBs) have attracted much interest as alternative energy storage devices. However, there is still a great challenge to develop suitable anode materials for PIBs with high specific capacity, fast charge/discharge and stable ion storage. Nowadays,...
journal article 2022
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Huang, Xinxing (author), Li, Yifan (author), Tian, Zhan (author), Ye, Qinghua (author), Ke, Q. (author), Fan, Dongli (author), Mao, Ganquan (author), Chen, Aifang (author), Liu, Junguo (author)
Efficient and accurate streamflow predictions are important for urban water management. Data-driven models, especially neural network (NN) models can predict streamflow fast, while the results are uncertain in some complex river systems. Physically based models can reveal the underlying physics, but it is relatively slow and computationally...
journal article 2021