arrow
返回
K

Kunming Pan

henan university of science and technology

32H指数
150论文数
4.0K被引数
收录论文 106
发表时间
How High-Entropy Electrolytes Boost the Performance of Alkali Metal Batteries高熵电解质如何提升碱金属电池的性能
err2026-10-01
err0
errOAAI
errYong Liu; Yanmei Liu; Fei Wang; Jingyang Wang; Yanfang Liang; Xibo Tang; Fengzhang Ren; Xiaobin Sun; Cheng Zhang; Yue Wang; Chunyang Kong; Kunming Pan
err分享
err收藏
Insight into the microstructural evolution of cast tungsten carbide powders铸态碳化钨粉末微观结构演化的见解
err2026-08-17
err0
PREAI
errChong Chen; Yadi Zhang; Jiayu Qiao; Guofeng Zhang; Liujie Xu; Yue Yang; Shizhong Wei; Kunming Pan; Changji Wang; Hua Yu
err分享
err收藏
Enhancing CO2 Reduction Performance on Cu-Based Catalysts: Modulating Electronic Properties and Molecular Configurations增强Cu基催化剂的CO2还原性能:调控电子性质和分子构型
err2026-03-03
err0
errOAAI
errHuimin Han; Luxin Yang; Chao Han; Maosheng Bi; Hongbo Li; Yuwei Zeng; Kunming Pan; Shengyu Yin; Fang Wang; Saifei Pan
err分享
err收藏
Graphene-based composites as the cathodes for high-performance aqueous zinc-ion batteries: Applications and perspectives基于石墨烯的复合材料作为高性能水性锌离子电池的阴极: 应用和前景
err2026-01-01
err8
PREAI
errPei, Yifei; Liu, Yong; Kong, Chunyang; Jia, Zhihui; Feng, Kaijia; Xing, Yibo; He, Mingliang; Gao, Xiujie; Liu, Ruxia; Liu, Xianming; Pan, Kunming; Zhang, Qiaobao
err分享
err收藏
Anion-Defect Engineering in Transition Metal Compounds for Lithium–Sulfur Batteries: Current Progress, Mechanistic Insights, and Future Directions过渡金属化合物中阴离子缺陷工程在锂硫电池中的应用:研究进展、机理认识和未来方向
err2025-10-14
err0
PREAI
errHaojie Li; Han Jin; Teng Deng; Ce Yang; Zhengqian Jin; Yitong Zhang; Yuhe Feng; Yatao Liu; Xuetao Wang; Saifei Pan; Yongpeng Ren; Kunming Pan; R. Vasant Kumar; Guodong Feng; Shujiang Ding; Kai Xi
err分享
err收藏
Theoretical Insights into Hydrogen Production from Formic Acid Catalyzed by Pt-Group Single-Atom Catalysts甲酸催化下铂族单原子催化剂氢气生产理论见解
err2025-05-16
err0
errOAAI
errJin, Tao; Liang, Sen; Zhang, Jiahao; Li, Yaru; Bai, Yukun; Wu, Hangjin; Razanau, Ihar; Pan, Kunming; Wang, Fang
err分享
err收藏
Machine Learning-Assisted Hardness Prediction of Dispersion-Strengthened Tungsten Alloy机器学习辅助的弥散强化钨合金硬度预测
errMETALS
IF2.5
err2025-03-07
err0
errOAAI
errDai, Shaowu; Chen, Chong; Zhang, Cong; Wei, Shizhong; Han, Beibei; Wang, Changji; Pan, Kunming; Xu, Liujie; Mao, Feng; Yu, Hua
err分享
err收藏