Aqueous zinc-ion batteries (AZBs) show promises for large-scale energy storage. However, the zinc utilization rate (ZUR) is generally low due to side reactions in the aqueous electrolyte caused by the active water molecules. Here, we design a novel solvation structure in the electrolyte by introduction of sulfolane (SL). Theoretical calculations, molecular dynamics simulations and experimental tests show that SL remodels the primary solvation shell of Zn , which significantly reduces the side reactions of Zn anode and achieves high ZUR under large capacities. Specifically, the symmetric and asymmetric cells could achieve a maximum of ∼96 % ZUR at an areal capacity of 24 mAh cm . In a ZUR of ∼67 %, the developed Zn-V O full cell can be stably cycled for 500 cycles with an energy density of 180 Wh kg and Zn-AC capacitor is stable for 5000 cycles. This electrolyte structural engineering strategy provides new insight into achieving high ZUR of Zn anodes for high performance AZBs.
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http://dx.doi.org/10.1002/anie.202214966 | DOI Listing |
Adv Mater
January 2025
International Collaborative Center on Photoelectric Technology and Nano Functional Materials, Institute of Photonics & Photon-Technology, Northwest University, Xi'an, 710069, P. R. China.
Electrochemical reduction of CO to value-added multicarbon (C) productions offers an attractive route for renewable energy storage and CO utilization, but it remains challenging to achieve high C selectivity at industrial-level current density. Herein, a MoCu single-atom alloy (SAA) catalyst is reported that displays a remarkable C Faradaic efficiency of 86.4% under 0.
View Article and Find Full Text PDFJ Biol Eng
January 2025
Biochemical Engineering (AVT.BioVT), RWTH Aachen University, Aachen, Germany.
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View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
Background: Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machine learning (ML) to derive and validate a predictive model for LDD among children presenting with diarrhea to health facilities.
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BMC Urol
January 2025
Institute of Clinical Medicine, The Second affiliated Hospital of Hainan Medical University, 368th Yehai Avenue, Haikou, Hainan, 570311, China.
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View Article and Find Full Text PDFBMC Emerg Med
January 2025
Department of Emergency Medicine, Kartal Dr. Lutfi Kirdar City Hospital, University of Health Sciences, Istanbul, Turkey.
Background: In the 21st century, disasters (particularly earthquakes, which remain the leading cause of death) continue to be among the foremost issues requiring global emergency response. While the impact of advancing technologies on the environmental and human damage caused by earthquakes is still a subject of debate, search and rescue (SAR) teams and emergency departments (ED), specifically emergency physicians (EPs), play a crucial role in the most acute management of the effects of these earthquakes on human life. This study aims to examine the injury dynamics of two catastrophic earthquakes that occurred in Turkey 24 years apart from the perspective of EPs, utilizing archival records from the SAR teams in which EPs served.
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