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Two-dimensional (2D) electrides, characterized by excess interstitial anionic electron (IAE) in a crystalline 2D material, offer promising opportunities for the development of electrode materials, in particular in rechargeable metal-ion batteries applications. Although a few such potential electride materials have been reported, they generally show low metal-ion storage capacity, and the effect of IAE on the ion storage performance remains elusive so far. Here we report a novel 2D electride, [ScSi]·1e, with fascinating IAE-driven high alkali metal-ion storage capacity. In particular, its K-ion specific capacity can reach up to 1497 mA h g, higher than any previously reported 2D materials-based anodes in K-ion batteries (PIBs). The IAE in the [ScSi]·1e crystal accounts for such high capacity behavior, which can drift away and balance the charge on the metal-cation, playing a crucial role in stabilizing the metal-ion adsorption and enhancing multilayer-ions adsorption. This proposed IAE-driven storage mechanism provides an unprecedented avenue for the future design of high storage capacity electrode materials.
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http://dx.doi.org/10.1021/acs.jpclett.2c01888 | DOI Listing |
Small
September 2025
School of Mechanical Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Core-shell electrodes provide a potential and innovative approach for significantly enhancing the performance and capacity of supercapacitors (SCs) by combining two distinct materials. The capabilities of these advanced electrodes surpass those of conventional single electrodes. Specifically, these exhibit better energy storage, higher power density, and improved overall performance.
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September 2025
School of Materials Science and Engineering, State Key Laboratory of Silicon and Advanced Semiconductor Materials, Zhejiang University, Hangzhou, 310027, P. R. China.
High-concentration electrolytes (HCEs) face inherent challenges such as high viscosity and diminished ionic conductivity caused by the formation of three-dimensional (3D) anion networks, which limit their practical applications. In this study, it is demonstrated that encapsulating HCEs within metal-organic frameworks (MOFs) effectively disrupts these 3-D networks, resulting in significantly enhanced ionic conductivity. Raman spectroscopy, nuclear magnetic resonance (NMR), and molecular dynamics (MD) simulations reveal a significant reduction in aggregates (AGGs)-state anion within MOF-confined electrolytes, confirming the reconstruction of the solvation environment.
View Article and Find Full Text PDFJ Sci Food Agric
September 2025
College of Food Science & Technology, Shanghai Ocean University, Shanghai, China.
Background: Kaempferol (KAE), a bioactive flavonoid, has limited solubility and stability in water. Zein-gum arabic (GA) nanoparticles (NPs) are promising carriers for KAE, but the influence of preparation methods on their structure and properties remains unclear. This study investigated the effect of preparation method on the structure and properties of KAE-loaded zein-GA NPs.
View Article and Find Full Text PDFFront Comput Neurosci
August 2025
Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States.
Artificial neural networks are limited in the number of patterns that they can store and accurately recall, with capacity constraints arising from factors such as network size, architectural structure, pattern sparsity, and pattern dissimilarity. Exceeding these limits leads to recall errors, eventually leading to catastrophic forgetting, which is a major challenge in continual learning. In this study, we characterize the theoretical maximum memory capacity of single-layer feedforward networks as a function of these parameters.
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September 2025
Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
Rapid and efficient screening of foodborne pathogens is crucial for preventing bacterial spread and food poisoning. However, developing a multi-detection method that is easy to operate, offers good stability, and achieves high efficiency remains an enormous challenge. Existing multiplexed nucleic acid detection methods suffer from complex designs, leading to complicated operations, and non-robust sample introduction, causing primer/probe crosstalk and false-positive results.
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