Aqueous zinc-ion batteries (AZIBs) have emerged as promising energy storage systems due to their inherent safety and high capacity, with manganese oxides attracting attention for their cost-effectiveness and environmental compatibility. However, the poor cycling stability of manganese-based oxides, primarily due to Jahn-Teller distortions caused by Mn, limits their practical applications. Herein, a high valence MnO (H-MnO) material was prepared a simple secondary hydrothermal method, yielding an increased average manganese valence from 3.31 to 3.89. A Zn/H-MnO aqueous battery that utilized H-MnO as a cathode achieves an exceptional capacity of 420 mA h g at 0.1 A g and retains a capacity of 92.6% after 900 cycles at 2.0 A g. The structural transformation of the electrode material and changes in the elemental content during charging and discharging reveal that the H-MnO electrode undergoes a chemical transformation mechanism during these processes. This work demonstrates that increasing the average manganese valence state is a critical strategy for improving both capacity and cycling stability in manganese-based AZIBs.
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http://dx.doi.org/10.1039/d4dt02724h | DOI Listing |
Adv Mater
January 2025
State Key Laboratory of Petroleum Molecular & Process Engineering, Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200062, China.
Copper-based electrocatalysts are recognized as crucial catalysts for CO electroreduction into multi-carbon products. However, achieving copper-based electrocatalysts with adjustable valences via one-step facile synthesis remains a challenge. In this study, Cu/CuO heterostructure is constructed by adjusting the anion species of the Cu ions-containing electrolyte during electrodeposition synthesis.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Hubei Longzhong Laboratory, Wuhan University of Technology, Xiangyang Demonstration Zone, Xiangyang 441000, China.
Materials with high crystallographic symmetry are supposed to be good thermoelectrics because they have high valley degeneracy () and superb carrier mobility (μ). Binary GeSe crystallizes in a low-symmetry orthorhombic structure accompanying the stereoactive 4s lone pairs of Ge. Herein, we rationally modify GeSe into a high-symmetry rhombohedral structure by alloying with GeTe based on the valence-shell electron-pair repulsion theory.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Neurophysiology, Medical Faculty, Ruhr University Bochum, Bochum 44780, Germany.
The novelty, saliency, and valency of ongoing experiences potently influence the firing rate of the ventral tegmental area (VTA) and the locus coeruleus (LC). Associative experience, in turn, is recorded into memory by means of hippocampal synaptic plasticity that is regulated by noradrenaline sourced from the LC, and dopamine, sourced from both the VTA and LC. Two persistent forms of synaptic plasticity, long-term potentiation (LTP), and long-term depression (LTD) support the encoding of different kinds of spatial experience.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Political Science, Middlebury College, Middlebury, Vermont, United States of America.
Assessing whether texts are positive or negative-sentiment analysis-has wide-ranging applications across many disciplines. Automated approaches make it possible to code near unlimited quantities of texts rapidly, replicably, and with high accuracy. Compared to machine learning and large language model (LLM) approaches, lexicon-based methods may sacrifice some in performance, but in exchange they provide generalizability and domain independence, while crucially offering the possibility of identifying gradations in sentiment.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Center of Nanomaterials for Renewable Energy (CNRE), State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, P. R. China.
The Fe-N-C catalyst, featuring a single-atom Fe-N configuration, is regarded as one of the most promising catalytic materials for the oxygen reduction reaction (ORR). However, the significant activity difference under acidic and alkaline conditions of Fe-N-C remains a long-standing puzzle. In this work, using extensive ab initio molecular dynamics (AIMD) simulations, we revealed that pH conditions influence ORR activity by tuning the surface charge density of the Fe-N-C surface, rather than through the direct involvement of HO or OH ions.
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