
李成龙
研究方向:新能源汽车、氢气纯化、人工智能与气体分离建模优化
工学博士,武汉理工大学车辆工程专业博士研究生,曾获国家留学基金委资助赴加拿大三河城魁北克大学(Université du Québec à Trois-Rivières, UQTR)氢能研究所联合培养。主要从事新能源汽车、氢气纯化、人工智能与气体分离建模优化等方向研究,主讲《汽车构造》、《汽车智能驾驶模拟仿真技术》等课程。作为项目负责人主持湖北省自然科学基金青年项目(在研)和武汉市科技创新局项目(结题)1项、参与国家自然科学基金项目2项,相关成果发表于Separation and Purification Technology、Fuel、International Journal Hydrogen Energy等国际纯化分离和能源领域Top期刊,累计发表SCI论文14篇(第一/通讯作者10篇)、EI论文5篇。
发表的学术论文如下:
[1] Chenglong Li, Ziyu Yang, Hao Luo ,Ben Chen , Yonghua Cai , Tianqi Yang*, et al. A modified adsorbent performance indicator for multi-component gas separation and hydrogen purification based on ideal adsorbed solution theory. International Journal Hydrogen Energy. 2026;237:155316. (SCI, IF=9.2, JCR Q1)
[2] Chenglong Li, Ziyu Yang, Hao Luo, Tianqi Yang*, Lang Tong, Yupeng Yuan, Chengqing Yuan, Richard Chahine, Jinsheng Xiao. Analytical and numerical estimations of isosteric heat of adsorption with application to hydrogen purification[J]. Fuel. 2025, 381:133398. (SCI, IF=7.8, JCR Q1)
[3] Chenglong Li, Chengqing Yuan, Tianqi Yang*, Hao Luo, Richard Chahine, Lang Tong, Yupeng Yuan, Jinsheng Xiao. Breakthrough curves of H2/CO2 adsorptions on CuBTC and MIL-125(Ti)_NH2 predicted by empirical correlations and deep neural networks[J]. Separation and Purification Technology. 2025, 354:129450. (SCI, IF=9.1, JCR Q1)
[4] Chenglong Li, Ben Chen, Yonghua Cai, Tianqi Yang*, Chengqing Yuan, Richard Chahine, Jinsheng Xiao. Multi-objective performance optimization of fuel cell grade hydrogen purification by multi-layered pressure swing adsorption systems with novel combination of adsorbents[J]. Separation and purification technology. 2025, 376:133996.(SCI, IF=9.1, JCR Q1)
[5] Chenglong Li, Hao Luo, Yupeng Yuan, Lang Tong, Ben Chen, Tianqi Yang*, Chengqing Yuan, Richard Chahine, Jinsheng Xiao. Equilibrium and dynamic adsorption characteristics of Zeolite 5A, LiX, 13X and MOF UTSA-16 adsorbents for hydrogen purification[J]. International Journal of Hydrogen Energy. 2025, 140:889-899. (SCI, IF=9.2, JCR Q1)
[6] Chenglong Li, Feng Ye, Richard Chahine, Tianqi Yang*, Jinsheng Xiao. Genetic algorithm optimized artificial neural network models of single- and multi-component gas adsorption isotherms for hydrogen purification[J]. International Journal of Hydrogen Energy. 2024, 52:1127-1142. (SCI, IF=9.2, JCR Q1)
[7] Chenglong Li, Tianqi Yang*, Hao Luo, Lang Tong, Pierre Bénard, Richard Chahine, Jinsheng Xiao. Multi-objective optimization of breakthrough times for hydrogen purification through layered bed pressure swing adsorption based on genetic algorithm and artificial neural network model[J]. International Journal of Hydrogen Energy. 2024, 52:390-405. (SCI, IF=9.2, JCR Q1)
[8] Tianqi Yang, Dong Wei, Hao Luo, Ben Chen, Yonghua Cai, Chenglong Li*, Xuefang Li, Richard Chahine, Jinsheng Xiao. Machine learning prediction on adsorption capacities of steam methane reforming off-gas in silica gels[J]. Sustainable Energy & Fuels. 2025, 9:6841-6852. (SCI, IF=4.6, JCR Q2)





