
姓名:张轩
职称:讲师
性别:男
出生年月:1994.04
毕业院校:集美大学
学历:博士
学位:博士
所在单位:轮机工程学院
入职时间:2023.11
办公地点:育才楼406
电子邮箱:zxjmu001@163.com
一、个人简介
主要从事MOF储能材料、气体吸附分离、计算机模拟等研究。
二、代表性项目或论文成果等
(1)科研项目
[1] 福建省自然科学青年项目,2025J08197,船用MOF/AC复合储氢材料智能设计与动态工况适应性研究,2025-2028,主持。
[2] 国家自然科学基金面上项目,2024J01713,基于碳基复合材料@MOFs限域协同溢流的船用氢化铝可逆储放氢研究,2024-2027,参与。
[3] 厦门市科技计划项目,3502Z20226011,基于太阳能/风能电解水制氢与燃料电池储能的船用混合动力系统研制,2021-2024,参与。
(2)代表性论文
[1]Zhang X. Separation of formaldehyde, N2, and O2 in MOFs: Crystal graph convolutional neural network, machine learning, and experimental. Analytica Chimica Acta, 2025, Volume 1368, 22 September 2025, 344311. (SCI)
[2]Zhang X. Machine-Learning-Assisted High-Throughput Screening of High-Performance MOFs for Multi-Component Gas Separation. Industrial & Engineering Chemistry Research, 2025,64(5):2926-2936. (SCI)
[3]Zhang X, Zheng Q R, He H Z. Synergistic Effect of Hydrogen Spillover and Nano-confined AlH3 on Room Temperature Hydrogen Storage in MOFs: by GCMC, DFT and Experiments, International Journal of Hydrogen Energy, Volume 72, 27 June 2024, 1224-1235. (SCI)
[4]Zhang X, Zheng Q R, He H Z. Multicomponent adsorptive separation of CO2, CH4, N2, and H2 over M-MOF-74 and AX-21@M-MOF-74 composite adsorbents, Microporous and Mesoporous Materials, 2022, 336: 111899. (SCI)
[5]Zhang X, Zheng Q R, He H Z. Machine-Learning-Based Prediction of Hydrogen Adsorption Capacity at Varied Temperatures and Pressures for Mofs Adsorbents, Journal of the Taiwan Institute of Chemical Engineers, 2022, 138104479. (SCI)
[6]Zhang X, Zheng Q R, He H Z. Investigation of the Densification and Heat Conducting Enhancement Measures On Mil-101 and its Composite for Hydrogen Storage by Adsorption, International Journal of Hydrogen Energy, 2022, 47(17): 9958-9968. (SCI)
[7]Zhang X, Zheng Q R, He H Z. Development of Cryo-Adsorption Hydrogen Storage Systems for Ship's Pemfc Power Units, Cryogenics, 2022, 121103412. (SCI)
[8]Zhang Xuan, Zheng Qingrong, Zhao Guobin, et al. Adsorption equilibrium and charge/discharge characteristics of hydrogen on MOFs. Cryogenics, 2020, 112: 103121. (SCI)
[9]张轩,郑青榕,赵国斌等.船舶机舱含油废水在膨胀石墨/活性炭复合吸附剂上的吸附研究. 舰船科学技术, 2020,42(6): 105-109. (北大核心)