Results 181 to 190 of about 33,530 (262)

Magnetic-field-guided catalytic effect mitigates Li₂S passivation of lithium-sulfur batteries. [PDF]

Natl Sci Rev
Liao L, Meng R, Zhou C, Li S, Xu W, Li X, Zhang K, Chen L, Shi F, Liu D, Hou H, Zhang C, Yang J.   +12 more
europepmc   +1 more source

Intrinsically Ultrahigh‐Rate Charging Capability of Conversion Reaction Cathodes and Its Origin: A Mechanism Study on FeS2

Carbon Energy, EarlyView.
Origin of the ultrahigh‐rate charge capability of FeS2: FeS2 demonstrates exceptional high‐rate charging capability, delivering 92% capacity retention at 10 C and maintaining as much as 60% capacity retention even at 30 C. This originates from an ultrahigh apparent diffusion coefficient involving both Li+ and Fe2+.
Zhen Yu, Junxiong Chen, Zongwang Tian, Ji Li, Yicheng Wang, Lifu Shen, Jianwei Meng, Kaiyu Zhang, Jingyi Xie, Nian Zhang, Xuefei Feng, Tsu‐Chien Weng, Xiaosong Liu, Pengfei Yu   +13 more
wiley   +1 more source

Size-Selective Nanoporous Atomically Thin Graphene Separators for Lithium-Sulfur Batteries. [PDF]

ACS Appl Mater Interfaces
Gribble DA, Cheng P, Pol VG, Kidambi PR.
europepmc   +1 more source

Engineering Spin State of Ni Single‐Atoms to Enhance Electrocatalytic Activity of Sulfur Conversion in Lithium–Sulfur Batteries

Carbon Energy, EarlyView.
Ni SACs with high‐spin state show strong catalytic activity toward lithium polysulfides (LPSs), whereas the Ni SACs with low‐spin state have strong adsorption capacity for LPSs. Therefore, the preparation of Ni SACs with an intermediate spin state by controlling pyridinic N and pyrrolic N enables an excellent balance between the adsorption and ...
Mengyang Li, Guiqiang Cao, Yiming Qi, Chenyang Hou, Xuexia Song, Ruixian Duan, Huijuan Yang, Yifan Li, Xiaorui Chen, Zongnan Lv, Qinchuan Chen, Yitong Yuan, Guohua Liu, Yuhui Xu, Jingjing Wang, Wenbin Li, Xifei Li   +16 more
wiley   +1 more source

Microenvironment Engineering Enables Broad Strategies for Lithium-Sulfur Batteries. [PDF]

Adv Sci (Weinh)
Li R, Xiao Y, Huang S.
europepmc   +1 more source

Engineered Carbon Dots as Multifunctional Nanoplatforms for Next‐Generation High‐Performance Advanced Batteries

Carbon Energy, EarlyView.
Herein, we mainly summarize the characteristics of the main types of carbon dots (CDs), analyze the strategies for improving advanced batteries' performance via incorporating CDs, comprehensively summarize recent applications of CDs in the main components (electrode, electrolyte, and separator) of advanced batteries, and propose the technical ...
Chuang Jiang, Jinlong Feng, Zhenjie Liu, Ming Jia, Qingxi Hou, Wei Liu   +5 more
wiley   +1 more source

Revealing the Hidden Electrochemical Pathway for Cathode Electrolyte Interface Formation in Lithium-Sulfur Batteries with Carbonate-Based Electrolytes. [PDF]

ACS Appl Energy Mater
García-Soriano FJ, Jerovsek J, Maldonado-Ochoa SA, Vaca Chávez F, Tarimo DJ, Presser V, Genorio B, Florent M, Bandosz TJ, Dominko R, Prehal C, Vizintin A.   +11 more
europepmc   +1 more source

ZIF‐67 In Situ Grown PAN Spun Membrane Gel Electrolyte for Sodium‐Sulfur Batteries

Carbon Energy, EarlyView.
This illustration shows the fabrication process of a solid‐state electrolyte for sodium‐sulfur (Na‐S) batteries. First, a polyacrylonitrile (PAN) fibrous membrane is prepared. Next, ZIF‐67 is grown in situ on the PAN membrane to form PAN@ZIF‐67. Subsequently, polyethylene oxide (PEO) is introduced into PAN@ZIF‐67 to obtain the composite electrolyte PEO/
Haowei Shi, Fengjin Han, Binghao Chen, Qiaohong Peng, Hua Yuan   +4 more
wiley   +1 more source

In situ unveiling the conversion processes on the catalytic cathode in lithium-sulfur batteries. [PDF]

Sci Adv
Li Y, Tian JX, Zhang XS, Liu RZ, Shen ZZ, Li HN, Lang SY, Wen R.   +7 more
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source