Stabilizing Lithium Metal Anodes by Fiber Clustering DOI

Caihong Wu,

Piao Qing, Haifeng Huang

et al.

Inorganic Chemistry, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 19, 2024

Lithium metal anodes generally suffer from uncontrolled dendrite growth and large volume change, while traditional skeletons such as Li13In3 Li22Sn5 are too heavy discontinuous to offer highly efficient structural supportability for composite Li anodes. In this work, lightweight stable fiber-clustered skeletons, which composed of LiB fibers jointed Li22Si5 nanoparticles, can be obtained by smelting SiB6 powder ingots. addition serving both ionic electronic conductors anodes, the reduced volumetric fluctuation offering uniform, heterogeneous, continuous architectures suppressing lithium dendrites with low nucleation overpotential diffusion energy barrier. As a result, Li–SiB6|Li–SiB6 symmetrical cells achieve an ultralong lifespan over 2000 h cycling at 1 mA cm–2 cm–2. Eventually, Li–SiB6|LiFePO4 full exhibit long-term cyclability 400 cycles high-capacity retention 94.5% 2 C, Li–SiB6|LiCoO2 pouch impressive 85% capacity after 350 cycles. This work develops new strategy strengthen stability fibrous minimize changes dendrite-free

Language: Английский

Engineering the Solid Electrolyte Interphase for Enhancing High-Rate Cycling and Temperature Adaptability of Lithium-Ion Batteries DOI Creative Commons
Zhongming Wang, Zhiyuan He, Zhongsheng Wang

et al.

Chemical Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

The new lithium salt additive prevents the decomposition of VN and promotes formation a SEI film rich in RSO 3 LiF on graphite electrode surface.

Language: Английский

Citations

2
Insights into the reaction mechanism of a capacity contributing electrolyte for high energy density Li/CFx batteries DOI

Sen Ma,

Wen Liu, Ying Luo

et al.

Journal of Power Sources, Journal Year: 2025, Volume and Issue: 638, P. 236622 - 236622

Published: Feb. 27, 2025

Language: Английский

Citations

2
Elucidating Passivation Layer Effects on Low-Temperature Performance of Nitrile-Based Electrolytes in Lithium-Ion Batteries DOI
Hossein Shahali,

Drew Stufflebam,

Ahmad Amiri

et al.

Energy & Fuels, Journal Year: 2025, Volume and Issue: unknown

Published: April 5, 2025

Language: Английский

Citations

1
A Knowledge–Data Dual‐Driven Framework for Predicting the Molecular Properties of Rechargeable Battery Electrolytes DOI Open Access
Yuchen Gao,

Yuhang Yuan,

Suozhi Huang

et al.

Angewandte Chemie International Edition, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 11, 2024

Abstract Developing rechargeable batteries that operate within a wide temperature range and possess high safety has become necessary with increasing demands. Rapid accurate assessment of the melting points (MPs), boiling (BPs), flash (FPs) electrolyte molecules is essential for expediting battery development. Herein, we introduce Knowledge‐based Property prediction Integration (KPI), knowledge–data dual‐driven framework molecular property electrolytes. Initially, KPI collects structures properties, then automatically organizes them into structured datasets. Subsequently, interpretable machine learning further explores structure–property relationships from microscopic perspective. Finally, by embedding discovered knowledge models, achieved very low mean absolute errors 10.4, 4.6, 4.8 K MP, BP, FP predictions, respectively. The reached state‐of‐the‐art results in 18 out 20 Utilizing neighbor search high‐throughput screening, 15 14 promising molecules, without Chemical Abstracts Service Registry Number, respectively, were predicted wide‐temperature‐range high‐safety batteries. not only accurately predicts properties deepens understanding but also serves as an efficient integrating artificial intelligence domain knowledge.

Language: Английский

Citations

6
A Knowledge–Data Dual‐Driven Framework for Predicting the Molecular Properties of Rechargeable Battery Electrolytes DOI Open Access
Yuchen Gao,

Yuhang Yuan,

Suozhi Huang

et al.

Angewandte Chemie, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 11, 2024

Abstract Developing rechargeable batteries that operate within a wide temperature range and possess high safety has become necessary with increasing demands. Rapid accurate assessment of the melting points (MPs), boiling (BPs), flash (FPs) electrolyte molecules is essential for expediting battery development. Herein, we introduce Knowledge‐based Property prediction Integration (KPI), knowledge–data dual‐driven framework molecular property electrolytes. Initially, KPI collects structures properties, then automatically organizes them into structured datasets. Subsequently, interpretable machine learning further explores structure–property relationships from microscopic perspective. Finally, by embedding discovered knowledge models, achieved very low mean absolute errors 10.4, 4.6, 4.8 K MP, BP, FP predictions, respectively. The reached state‐of‐the‐art results in 18 out 20 Utilizing neighbor search high‐throughput screening, 15 14 promising molecules, without Chemical Abstracts Service Registry Number, respectively, were predicted wide‐temperature‐range high‐safety batteries. not only accurately predicts properties deepens understanding but also serves as an efficient integrating artificial intelligence domain knowledge.

Language: Английский

Citations

4
Understanding the Effect of Lithium Ion Solvation Structures on the Stability of Li Metal Anodes Based on Molecular Properties DOI
Hao Sun, Zhenhua Liu, Hongmin Yu

et al.

Published: Jan. 1, 2025

The lithium deposition and SEI formation, which are crucial factors limiting the use of metal anodes with high specific energy, both closely related to ion-solvent coordination (ISC) structure ions. Nevertheless, there is a paucity knowledge at molecular level concerning link between stability Li anode ISC structure. Here, influence carbonate-based electrolytes different salt mole ratio (MR) on was investigated through dynamics (MD) simulations, density functional theory (DFT) calculations electrochemical experiments. mechanism effect constructed level. A significant correlation found electrostatic potential (ESP) solvation desolvation energy (Ed) low MR. Consequently, ESP can be employed as descriptor for experimental screening solvents. It also identified that Ed reduced increasing MR, thereby optimizing deposition. This study offers insights into pivotal function in formation provides an effective approach optimize fabrication stable lithium-metal batteries.

Language: Английский

Citations

0
Review on Graphite Anodes for Fast‐Charging Lithium‐Ion Batteries: Mechanism, Modification and Characterizations DOI
Yu Dong,

Cai Liu,

Rui Miao

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: May 30, 2025

Abstract Lithium‐ion batteries (LIBs) are awarded the 2019 Nobel Prize in Chemistry, revolutionizing global energy systems and significantly altering human lifestyles. However, current electrochemical performance of lithium‐ion fails to satisfy increasingly stringent requirements for fast‐charging capabilities modern storage applications. Central this challenge is advancement graphite anode materials, which play a pivotal role enhancing performance. Nonetheless, inherently sluggish lithiation kinetics LIBs impose limitations on battery capacity, leading irreversible lithium plating, has adverse impact power cycling This review delves into elucidating primary factors influencing anodes dissects underlying failure mechanisms. And then comprehensive overview modification strategies aimed at ability presented from view reaction process. Moreover, advanced situ characterization techniques applicable key issues process introduced. Finally, potential future directions perspective mechanism researches methods highlighted, aiming drive LIBs.

Language: Английский

Citations

0
Modeling, Analysis of Solvation Structure, and Interfacial Reaction Dynamics in Advanced Low-Temperature Lithium-Ion Batteries DOI
Md Sharif Khan, Hossein Shahali, Ahmad Amiri

et al.

Energy storage materials, Journal Year: 2025, Volume and Issue: unknown, P. 104363 - 104363

Published: May 1, 2025

Language: Английский

Citations

0
Enhancing temperature adaptability of lithium-sulfur batteries via a practical electrolyte concentration engineering strategy DOI

Weilong Yin,

Yiming Qi,

Wei Zhang

et al.

Materials Letters, Journal Year: 2025, Volume and Issue: 397, P. 138837 - 138837

Published: May 27, 2025

Language: Английский

Citations

0
Electrolyte Chemistry Toward Sulfur‐Rich Interphase for Wide‐Temperature Sodium‐Ion Batteries DOI
Jiabao Li, Quan Yuan, Yu‐Ting Chen

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 26, 2024

Abstract Achieving wide‐temperature operation is a crucial objective for the practical deployment of sodium‐ion batteries (SIBs). However, development suitable electrolytes hindered by significant challenges, including compromised ionic dynamics at low temperatures and interphase instability high temperatures. Herein, this study proposes novel enhancement mechanism utilizing sulfur‐rich strategy, grounded in rational solvent selection. This approach enriches electrolyte with sulfur‐containing species that exhibit Na + affinity efficient migration both cathode anode sides. Consequently, strategy significantly enhances interfacial charge transfer integrity, confirmed theoretical calculations electrochemical measurements. The designed demonstrates robust performance half‐cells based on 3 V 2 (PO 4 ) (NVP) across wide temperature range from −25 to 60 °C. Furthermore, full‐cell, featuring an NVP paired hard carbon anode, exhibits exceptional stability. Specifically, full cell achieves reversible capacities 56.1 mAh g −1 after 100 cycles °C 74.9 °C, impressive capacity retentions 87.7% 88.2%, respectively. Importantly, introduces advanced optimization enables SIBs temperatures, providing solutions future developments field.

Language: Английский

Citations

2