| 曹小浩，工学博士，2024年毕业于天津工业大学获博士学位，2025年7月加入邢台学院物理与电子工程学院。主要研究方向为材料基因组学设计与计算。目前以第一作者/通讯作者在ACS Applied Materials & Interfaces，Industrial & Engineering Chemistry Research等国际期刊发表论文4篇，参与SCI论文发表2篇，软件著作权1个。
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学术成果
1、Cao, X.; Han, Q.; Han, R., et al. Integrating Multiscale Simulation with Machine Learning to Screen and Design FIL@COFs for Ethane-Selective Separation [J]. ACS Appl. Mater. Interfaces, 2024, 16(21): 27360-7
2、Cao, X.; Zhang, Z.; He, Y.; Xue, W.; Huang, H.; Zhong, C. Machine-learning-aided computational study of covalent organic frameworks for reversed C2H6/C2H4 separation[J]. Ind. Eng. Chem. Res. 2022, 61 (30), 11116-11123
3、Cao, X.; He, Y.; Zhang, Z.; Sun, Y.; Han, Q.; Guo, Y.; Zhong, C. Predicting of covalent organic frameworks for membrane-based isobutene/1,3-butadiene separation: Combining molecular simulation and machine learning[J]. Chem. Res. Chin. Univ. 2022, 38(2): 421
4、 Zhang, Z.*; Wang M., Tian w., Cao X.**, Zhao M., Sun Y., Qiao Z. Machine learning-enabled design of MOF-based membranes for efficient C3H8-selective separation[J]. J. Membr. Sci. 2026, 745, 125244
