Electrolyte Solvent‐Ion Configuration Deciphering Lithium Plating/Stripping Chemistry for High‐Performance Lithium Metal Battery

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 23, 2025

Abstract Electrolyte engineering plays a critical role in tuning lithium plating/stripping behaviors, thereby enabling safer operation of metal anodes batteries (LMBs). However, understanding how electrolyte microstructures influence the process at molecular level remains significant challenge. Herein, using commonly employed ether‐based as model, each component is elucidated and relationship between behavior established by investigating effects compositions, including solvents, salts, additives. The variations Li + deposition kinetics are not only analyzed characterizing overpotential exchange current density but it also identified that intermolecular interactions previously unexplored cause these 2D nuclear overhauser effect spectroscopy (NOESY). An interfacial model developed to explain solvent interactions, distinct roles anions, additives desolvation thermodynamic stability clusters during process. This clarifies configurations solvents ions related macroscopic properties chemistry. These findings contribute more uniform controllable deposition, providing valuable insights for designing advanced systems LMBs.

Язык: Английский

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Lithium Difluorophosphate Additive Engineering Enabling Stable Cathodic Interface for High‐Performance Sulfide‐Based All‐Solid‐State Lithium Battery

Energy & environment materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 16, 2025

Coupling with high‐voltage oxide cathode is the key to achieve high‐energy density sulfide‐based all‐solid‐state lithium batteries. However, complex interfacial issues including space charge layer effect and undesirable side reaction between sulfide solid‐state electrolytes materials are main constraints on development of high‐performance batteries, which lead continuous decay electrochemical performance. Herein, different from complicated coating procedure, a LiPO 2 F additive engineering was proposed With introduction additive, protective cathode–electrolyte interphase consisting LiP x O y z , LiF, Li 3 PO 4 could be in situ formed improve stability LiNi 0.8 Co 0.1 Mn (NCM811) 5.5 PS 4.5 Cl 1.5 (LPSC). Benefiting this, NCM811/LPSC/Li battery exhibited impressive cyclic capacity retention 85.5% after 600 cycles (at 0.5 C). Diverse comprehensive characterization, combined finite element simulation functional theory calculation fully demonstrated effective component, stabilization function enhanced kinetic ‐derived interphase. This work provides not only feasible method stabilize cathodic interface but also worthy insight into design for

Язык: Английский

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From Present Innovations to Future Potential: The Promising Journey of Lithium-Ion Batteries

Micromachines, Год журнала: 2025, Номер 16(2), С. 194 - 194

Опубликована: Фев. 7, 2025

Lithium-ion batteries (LIBs) have become integral to modern technology, powering portable electronics, electric vehicles, and renewable energy storage systems. This document explores the complexities advancements in LIB highlighting fundamental components such as anodes, cathodes, electrolytes, separators. It delves into critical interplay of these determining battery performance, including density, cycling stability, safety. Moreover, addresses significant sustainability challenges posed by widespread adoption LIBs, focusing on resource depletion environmental impact. Various recycling practices, hydrometallurgy, pyrometallurgy, direct recycling, are evaluated for their efficiency metal recovery ecological footprint. The technologies aim mitigate adverse effects waste, emphasizing need sustainable scalable solutions. research underscores importance ongoing innovation electrode materials methodologies, reminding us our responsibility commitment finding implementing solutions, this continuous improvement is crucial enhance safety, ensuring continued relevance evolving landscape.

Язык: Английский

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Covalent organic frameworks for high-performance rechargeable lithium metal batteries: Strategy, mechanism, and application

Progress in Materials Science, Год журнала: 2025, Номер unknown, С. 101455 - 101455

Опубликована: Фев. 1, 2025

Язык: Английский

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Occurrence of Cyclotriphosphazene Derivatives in Human Urine: Assessment of Human Exposure

Опубликована: Янв. 1, 2025

Язык: Английский

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Ni and La doping effect on characteristics of LiMn2O4 as cathode material for lithium-ion batteries with aprotic and aqueous electrolytes

Journal of Applied Electrochemistry, Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Язык: Английский

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Benefits of ICP-MS for the Elemental Compositional Analysis of Lithium-Ion Battery Electrolytes

Spectroscopy, Год журнала: 2025, Номер unknown, С. 6 - 9,13

Опубликована: Март 1, 2025

This month’s column investigates the elemental composition of electrolytes in lithium-ion batteries (LIBs) using inductively coupled plasma–mass spectrometry (ICP-MS). In addition to offering quantitative results for target elements, technique also provided valuable insight into semiquantitative analysis up 78 elements samples. To complete study, method detection limits and long-term stability LIB electrolyte matrices were evaluated.

Язык: Английский

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2,4,6-Tris(4-fluorophenyl)cyclo-boroxine as an Electrolytes Additive to Form Ultrathin CEI Interfacial Membrane for Improved High-Voltage LiNi_0.8Co_0.1Mn_0.1O₂ Lithium-Ion Batteries

ACS Applied Energy Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 20, 2025

Язык: Английский

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Effect of Formamide and DMSO Additives on the Electrolyte Properties of a Lithium-Ion Battery: Experimental and Theoretical Study

Electrochimica Acta, Год журнала: 2025, Номер unknown, С. 146095 - 146095

Опубликована: Март 1, 2025

Язык: Английский

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Deep Learning-Driven Molecular Generation and Electrochemical Property Prediction for Optimal Electrolyte Additive Design

Applied Sciences, Год журнала: 2025, Номер 15(7), С. 3640 - 3640

Опубликована: Март 26, 2025

Recently, generative models have rapidly advanced and are being applied to various domains beyond vision large language (LLMs). In the field of chemistry molecular generation, deep learning-based increasingly utilized reduce experimental exploration research costs. this study, we conducted on Variational Autoencoder-based generation property prediction screen for optimal molecules in design electrolyte additives lithium-ion batteries. Using a dataset composed promising additive candidate molecules, generated new predicted HOMO LUMO values, which key factors design. For approximately 1000 newly performed DFT calculations obtain values calculated mean absolute error (MAE) between from trained model DFT-calculated values. As result, demonstrated exceptionally low errors 0.04996 eV (HOMO) 0.06895 (LUMO), respectively. This means that battery experts can receive recommendations refer their select potential further validation through experiments. By replacing traditional development process with learning models, method has significantly overall time improve efficiency.

Язык: Английский

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