Xin Li
12 Papers
Xin Li is an academic researcher. The author has contributed to research in topics: Chemistry & Computer science. The author has an hindex of 2, co-authored 12 publications.
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Papers
Ultrathin and super-tough membrane for anti-dendrite separator in aqueous zinc-ion batteries
TL;DR: In this article , an ultrathin and high-toughness membranes composed of eco-friendly biomass nanofibers are constructed for substituting glass-fiber separators in rechargeable zinc-ion batteries.
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Broadband Emission Origin in Metal Halide Perovskites: Are Self-Trapped Excitons or Ions?
TL;DR: In this paper , a review of broadband emission in metal halide perovskites is presented, which may pave the way to an ideal customization of broadband-emission single-component materials. And the authors deploy this review by summarizing the fundamentals and development of such two emission mechanisms, to establish a clear and comprehensive understanding of the broadband emission phenomenon.
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Interaction Between the Glymphatic System and α-Synuclein in Parkinson’s Disease
Yu Zhang,Cui Zhang,Xu-Zhong He,Zhen-hua Li,Jingwen Meng,Rui-Ting Mao,Xin Li,Rong Xue,Qian Gui,Guo-Xing Zhang,Lin-Hui Wang +10 more
TL;DR: A close interaction between the AQP4-mediated glymphatic system and parenchymal α-syn is demonstrated, indicating that restoring the glymphatics activity is a potential therapeutic target to delay PD progression.
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Characteristics analysis of drought at multiple spatiotemporal scale and assessment of CMIP6 performance over the Huaihe River Basin
TL;DR: In this article , the authors analyzed the trend, change point, and periodicity of drought at multiple spatial-temporal scales based on the Standardized Precipitation Indexes (SPI), and the historical simulation experiments of 9 CMIP6 models were evaluated against observations for further exploring the behavior of climate extremes in future periods.
17
Incorporating External Knowledge Reasoning for Vision-and-Language Navigation with Assistant’s Help
TL;DR: In this article , an attention-based knowledge-enabled cross-modality reasoning with assistant's help (AKCR-AH) model is proposed to address the unique challenges of this task.