English | 繁體

Search in the results

UM

Browse/Search Results:  1-9 of 9 Help

Selected(0)Clear Items/Page:    Sort:
Temperature-dependent synthesis of SnO2 or Sn embedded in hollow porous carbon nanofibers toward customized lithium-ion batteries Journal article
Liang, Fanghua, Dong, Huilong, Ji, Zhuyu, Zhang, Wei, Zhang, Haifeng, Cao, Chunyan, Li, Heng, Liu, Hongchao, Zhang, Ke Qin, Lai, Yuekun, Tang, Yuxin, Ge, Mingzheng. Temperature-dependent synthesis of SnO2 or Sn embedded in hollow porous carbon nanofibers toward customized lithium-ion batteries[J]. Science China-Materials, 2023, 66(5), 1736-1746.
Authors:  Liang, Fanghua;  Dong, Huilong;  Ji, Zhuyu;  Zhang, Wei;  Zhang, Haifeng; et al.
Favorite | TC[WOS]:30 TC[Scopus]:28  IF:6.8/6.6 | Submit date：2023/06/05
High Rate Performance  Large Energy Storage  Lithium-ion Batteries  Sn-based Electrodes  Volume Expansion  
Fast Intercalation of Lithium in Semi-Metallic γ-GeSe Nanosheet: A New Group-IV Monochalcogenide for Lithium-Ion Battery Application Journal article
Zheng Shu, Xiangyue Cui, Bowen Wang, Hejin Yan, Yongqing Cai. Fast Intercalation of Lithium in Semi-Metallic γ-GeSe Nanosheet: A New Group-IV Monochalcogenide for Lithium-Ion Battery Application[J]. ChemSusChem, 2022, 15(15).
Authors:  Zheng Shu;  Xiangyue Cui;  Bowen Wang;  Hejin Yan;  Yongqing Cai
Favorite | TC[WOS]:14 TC[Scopus]:13  IF:7.5/8.4 | Submit date：2022/08/05
Energy Storage  Exfoliation  First-principles Calculations  Lithium Intercalation  Lithium-ion Batteries  
In-situ formed amorphous manganese vanadate encapsulating MnO via salt-assisted ball milling toward 3D hierarchical porous electrodes for superior lithium storage Journal article
Li, Bo, Shen, Jingjun, Zhao, Huajun, Lei, Wen, Yu, Xueqing, Xu, Jincheng, Tang, Yuxin, Zhang, Haiyan, Shao, Huaiyu. In-situ formed amorphous manganese vanadate encapsulating MnO via salt-assisted ball milling toward 3D hierarchical porous electrodes for superior lithium storage[J]. Chemical Engineering Journal, 2022, 431(4), 133732.
Authors:  Li, Bo;  Shen, Jingjun;  Zhao, Huajun;  Lei, Wen;  Yu, Xueqing; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:13.3/13.2 | Submit date：2022/03/28
3d Porous Structure  Amorphous Phase  Defect  Lithium Storage  Salt-assisted Ball Milling  
A generalized additive model-based data-driven solution for lithium-ion battery capacity prediction and local effects analysis Journal article
Chen, Tao, Gao, Ciwei, Hui, Hongxun, Cui, Qiushi, Long, Huan. A generalized additive model-based data-driven solution for lithium-ion battery capacity prediction and local effects analysis[J]. Transactions of the Institute of Measurement and Control, 2021.
Authors:  Chen, Tao;  Gao, Ciwei;  Hui, Hongxun;  Cui, Qiushi;  Long, Huan
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:1.7/1.6 | Submit date：2022/05/13
Battery Capacity Prediction  Data-driven Solution  Energy Storage System  Generalized Additive Model  Lithium-ion Battery  
Design of pseudocapacitance and amorphization Co-enhanced Mn3O4/graphene sheets nanocomposites for high-performance lithium storage Journal article
Li, Bo, Huang, Xiaomin, Li, Jianding, Zhao, Huajun, Yu, Xueqing, Qin, Qinghao, Xu, Jincheng, Lei, Wen, Feng, Dongyu, Deng, Yonghong, Zheng, Jinlong, Chen, Yuncai, Wang, Ning, Shao, Huaiyu. Design of pseudocapacitance and amorphization Co-enhanced Mn3O4/graphene sheets nanocomposites for high-performance lithium storage[J]. Applied Surface Science, 2021, 563, 150199.
Authors:  Li, Bo;  Huang, Xiaomin;  Li, Jianding;  Zhao, Huajun;  Yu, Xueqing; et al.
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:6.3/5.9 | Submit date：2021/09/17
Amorphization  Coupling Effect  Graphene  Lithium Storage  Mn3o4  Pseudocapacitance  
Battery Electrode Mass Loading Prognostics and Analysis for Lithium-Ion Battery–Based Energy Storage Systems Journal article
Chen, Tao, Song, Meng, Hui, Hongxun, Long, Huan. Battery Electrode Mass Loading Prognostics and Analysis for Lithium-Ion Battery–Based Energy Storage Systems[J]. Frontiers in Energy Research, 2021, 9, 754317.
Authors:  Chen, Tao;  Song, Meng;  Hui, Hongxun;  Long, Huan
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:2.6/3.0 | Submit date：2021/12/08
Battery Electrode Property Prediction  Battery Parameter Analysis  Data-driven Model  Energy Storage System  Lithium-ion Battery  
Self-assembled multifunctional Fe3O4 hierarchical microspheres: high-efficiency lithium-ion battery materials and hydrogenation catalysts 自组装多功能Fe3O4分级微球: 高效的锂离子电池 材料和加氢催化剂 Journal article
Wu, Konglin, Ling, Min, Zeng, Peiyuan, Zhang, Liang, Wu, Tao, Guan, Pingli, Cheong, Weng Chon, Chen, Zheng, Fang, Zhen, Wei, Xianwen. Self-assembled multifunctional Fe3O4 hierarchical microspheres: high-efficiency lithium-ion battery materials and hydrogenation catalysts 自组装多功能Fe3O4分级微球: 高效的锂离子电池 材料和加氢催化剂[J]. Science China Materials, 2021, 64(5), 1058-1070.
Authors:  Wu, Konglin;  Ling, Min;  Zeng, Peiyuan;  Zhang, Liang;  Wu, Tao; et al.
Favorite | TC[WOS]:10 TC[Scopus]:10  IF:6.8/6.6 | Submit date：2021/11/30
Energy Storage Material  Hierarchical Structure  Hydrogenation Catalyst  Iron Oxide  Lithium-ion Battery  
Interfacial reinforcement structure design towards ultrastable lithium storage in MoS2-based composited electrode Journal article
Cao, C, Dong, H, Liang, F, Zhang, Y, Zhang, W, Wang, H, Shao, H., Liu, H., Dong, K, Tang, Y., Lai, Y, Ge, M. Interfacial reinforcement structure design towards ultrastable lithium storage in MoS2-based composited electrode[J]. Chemical Engineering Journal, 2021, 129094-129094.
Authors:  Cao, C;  Dong, H;  Liang, F;  Zhang, Y;  Zhang, W; et al.
Favorite |   IF:13.3/13.2 | Submit date：2022/06/05
lithium storage  
Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models Journal article
Huang, Yuhao, Su, Yan, Garg, Akhil. Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models[J]. JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE, 2021, 18(3), JEECS-20-1145.
Authors:  Huang, Yuhao;  Su, Yan;  Garg, Akhil
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:2.7/2.4 | Submit date：2022/05/13
Artificial Neural Network Prediction  Batteries  Degradation Patterns  Electrochemical Storage  Energy Efficiencies  Lithium-ion Batteries