Results 171 to 180 of about 1,559,457 (305)

Research on Electrochemical Responses of Lithium-Ion Battery for 3C Consumer Electronics Under Structure Damage. [PDF]

Molecules
Yang J, Chen Y, Yan R, Peng J, Zhao J, Shu X, You Z, Wei S.   +7 more
europepmc   +1 more source

Balancing Bulk Solution Chemistry and Cation Solvation for Stable Aqueous Aluminum Batteries

Advanced Science, EarlyView.
A dual‐scale electrolyte design balances bulk solution chemistry and cation solvation in aqueous aluminum batteries. Regulation of the bulk solution preserves high ionic conductivity and electrochemical stability, while modulation of the Al3+ solvation environment lowers desolvation penalties and suppresses hydrogen evolution. This balanced electrolyte
Bei‐Er Jia, Gang Wu, Huoliang Gu, Jin Jie Liew, Dongping Chen, Jinxuan Song, Dan‐Yang Wang, Erhai Hu, Hong Han Choo, Yuzhu Liu, Yue Hu, Jinpeng Song, Anchun Tang, Zhenxiang Xing, Qiang Zhu, Chunshuang Yan, Chade Lv, Man‐Fai Ng, Qingyu Yan   +18 more
wiley   +1 more source

Research Progress on Recycling Technology of Spent Lithium-Ion Battery Electrodes: From the Perspective of Physical Separation and Intelligent Recognition. [PDF]

Molecules
Bu Y, Yu C, Deng X, Zhang H, Ma R.
europepmc   +1 more source

Targeted Multifunctional Fluorine‐Rich Copolymer Coating Design for Ambient‐Stable Prelithiated SiOC Anodes

Advanced Science, EarlyView.
A fluorine‐rich acrylate copolymer, poly (tridecafluorooctyl methacrylate‐co‐methyl methacrylate) (PFMMA), is introduced as a multifunctional protective coating to stabilize the prelithiated SiOC electrodes in humid conditions and preserve unimpeded interfacial ion/charge transport during redox reactions.
Rong Chen, Yixuan Fan, Congcong Zhang, Yinan Liu, Yun Zheng, Ruifeng Zheng, Yingying Shen, Pingshan Jia, Luojiang Zhang, Yongbing Tang, Huaiyu Shao   +10 more
wiley   +1 more source

Engineering Strategies to Suppress Thermal Runaway Propagation in Lithium-Ion Battery: Mechanisms, Metrics, Materials, and Evaluation Methods. [PDF]

Adv Sci (Weinh)
Su J, DiFelice A, Mawela J, Gan J, Che S, Cho W, Yan H, Xiao Y, Yao X, Guo X, Wang R, Xue D, Liu H, Adera S, Chen Z, Chen L.   +15 more
europepmc   +1 more source

Enhanced Ionic Conductivity at the Solid Electrolyte Interphase of Oxygen‐Doped Li6PS5Cl

Advanced Science, EarlyView.
Machine‐learned molecular dynamics and machine‐learning‐based phase identification reveal the kinetically formed SEI at buried Li | Li6PS5Cl interfaces. The SEI is dominated by Li2S‐based anion‐substituted phases, while oxygen doping enhances SEI ionic conductivity.
Sojeong Yang, Sungwoo Kang, Atefeh Yadegarifard, Hyun‐Jae Lee, Nongnuch Artrith, Jung‐Hoon Lee, Byungju Lee   +6 more
wiley   +1 more source

Multi-modal thermal runaway dataset of fresh and aged lithium-ion battery cells and modules. [PDF]

Sci Data
Kwak E, Jeong J, Kim JH, Shin Y, Park M, Oh KY.   +5 more
europepmc   +1 more source

A Modular Standard Operating Procedure for Standardizing Lithium Metal Interfaces

Advanced Science, EarlyView.
A modular standard operating procedure (SOP) is developed to standardize lithium metal interfaces through sequential etching, brushing, and soaking. By transforming poorly controlled lithium surfaces into chemically uniform and structurally regulated interfaces, the framework improves electrochemical reproducibility, interfacial stability, and ...
Wen‐Hsin Chang, Anlin Shaju, Han‐Shiuan Lin, Sih‐Ling Hsu, Quang Huy Dinh, Che‐Ning Yeh, Elise Yu‐Tzu Li, Yu‐Sheng Su   +7 more
wiley   +1 more source

Thermal management of prismatic lithium-ion battery using mist cooling with single and multiple injections: a numerical study. [PDF]

Sci Rep
Gadepalli P, Banerjee R, Sushmitha M, Nidhul K.   +3 more
europepmc   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source