LiOX (X = Cl, Br), a lithium-rich anti-perovskite material developed in recent years, has received tremendous attention due to its high ionic conductivity of >10 S cm at room temperature. However, the origin of the high ionic conductivity of the material at the atomic level is still not clear. In this work, we investigated the dynamic behavior of the LiOCl system with three different defect structures (Li-Frenkel, LiCl-Schottky, and Cl-O anti-site disorder) at seven temperature intervals and calculated its ionic conductivity using the deep potential (DP) model. The results show that the presence of LiCl-Schottky defects is the main reason for the high performance of the LiOCl system, and the Li vacancy is the main carrier. The ionic conductivity obtained from the DP model is 0.49 × 10 S cm at room temperature and it can reach 10 S cm above the melting point, which is in the same order of magnitude as the experimentally reported results. We also explored the effect of different defect concentrations on the ionic conductivity and migration activation energy. This work also demonstrates the feasibility of the DP method for solving the accuracy-efficiency dilemma of molecular dynamics (AIMD) and classical molecular dynamics simulations.
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Mater Today Bio
February 2025
Discipline of Mechanical, Manufacturing and Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin 2, Ireland.
Peripheral nerve repair (PNR) is a major healthcare challenge due to the limited regenerative capacity of the nervous system, often leading to severe functional impairments. While nerve autografts are the gold standard, their implications are constrained by issues such as donor site morbidity and limited availability, necessitating innovative alternatives like nerve guidance conduits (NGCs). However, the inherently slow nerve growth rate (∼1 mm/day) and prolonged neuroinflammation, delay recovery even with the use of passive (no-conductive) NGCs, resulting in muscle atrophy and loss of locomotor function.
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January 2025
School of Materials Science and Engineering, Shanghai Jiao Tong University Shanghai 200240 China
During the initial cycling of lithium-ion batteries, the generation of SEI at the electrode-electrolyte interface and the occurrence of irreversible side reactions consume the active lithium, resulting in irreversible loss of volume (ICL), which may also be accompanied by electrode volume changes and structural collapse. Addressing these challenges has become critical, and pre-lithiation with additional lithium has emerged as a key way to improve battery performance. Hence, this review comprehensively analyzes and summarizes the causes of ICL in lithium-ion batteries, and systematically discusses various prelithiation methods and mechanisms of different electrode structures, especially electrodes.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China.
Crystalline porous materials, known for their ordered structures, hold promise for efficient hydroxide conductivity in alkaline fuel cells with limited ionic densities. However, the rigid cross-linking of porous materials precludes their processing into membranes, while composite membranes diminish materials' conductivity advantage due to the interrupted phases. Here, we report a self-standing three-dimensional covalent organic framework (3D COF) membrane with efficient OH-transport through its interconnected 3D ionic nanochannels.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM, 64053, Pau, France.
The photopolymerization-induced microphase separation (photo-PIMS) process involving a reactive polymer block was implemented to fabricate nanostructured quasi-solid polymer electrolytes (QSPEs) for use in lithium metal batteries (LMBs). This innovative one-pot fabrication enhances interfacial properties in LMBs by enabling nanostructuring of QSPE directly onto the electrodes. This process also allows for customization of QSPE structural dimensions by tweaking the architecture and molar mass of poly[(oligo ethylene glycol) methyl ether methacrylate--styrene] (P(OEGMA--S)) macromolecular chain transfer agent.
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January 2025
School of Materials and Energy, Lanzhou University (LZU), Lanzhou 730000, China.
Complementary neural network circuits combining multifunctional high-performance p-type with n-type organic artificial synapses satisfy sophisticated applications such as image cognition and prosthesis control. However, implementing the dual-modal memory features that are both volatile and nonvolatile in a synaptic transistor is challenging. Herein, for the first time, we propose a single vertical n-type organic synaptic transistor (VNOST) with a novel polymeric organic mixed ionic-electronic conductor as the core channel material to achieve dual-modal synaptic learning/memory behaviors at different operating current densities via the formation of an electric double layer and the reversible ion doping.
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