刘闯，男，1992年4月生，安徽阜阳人，博士，副教授。主要从事计算力学和力学超材料等研究。主持国家自然科学基金青年项目，安徽省青年科学基金，江苏省“双创博士”等科研项目5项。在Energy, International Journal of Mechanical Science, Journal of Petroleum Science and Engineering，Gas Science and Engineering, Extreme Mechanics Letters，《应用数学和力学》等学术期刊发表SCI论文30余篇，其中第一/通讯SCI论文20余篇。担任Acta biomaterialia, Journal of Rock Mechanics and Geotechnical Engineering, Applied intelligence等期刊审稿人。

Ø 主要研究领域

力学超材料、计算力学、机器学习。

Ø 受教育经历

2013/09 – 2017/11， 中国科学技术大学，固体力学，工学博士。

2009/09 – 2013/07， 南华大学，安全工程，工学学士。

Ø 研究工作经历

2019/12 – 至今， 南京工业大学，力学与工程材料系，副教授。

2017/12 – 2019/12， 中国科学技术大学，近代力学系，博士后。

Ø 科研项目

Ø 代表性论文

* 通讯作者，# 共同一作

最新成果： https://orcid.org/0000-0002-4113-7666

[1] Wu, H., Yu, C., Liu, C.*, & Wu, H. Conditional diffusion modeling for constructing geometrical connectivity in multiscale metamaterial system. Extreme Mechanics Letters, 2025, 102446 (SCI).

[2] Xiang, P., Liu, X., Chen, X., & Liu, C.* Tailoring Energy Absorption of Curved-Beam Lattices Through a Data-Driven Approach. Materials, 2025, 18(23), 5377 (SCI).

[3] Liu, X., Zhou, Q., Zhao, M., Zhao, A., Wu, H., & Liu, C.* Tailoring shape-morphing and stiffness of lattice structures via curved-beam programming. International Journal of Mechanical Sciences, 2025, 110696 (SCI).

[4] Ji, K., Zhao, M., Zheng, Y., Zhao, A., Wu, H., & Liu, C.* Tunable bioinspired lattice metamaterials with excellent strength, energy absorption and vibration insulation. Thin-Walled Structures, 2025, 113727 (SCI).

[5] Liu, C., Ni, R., Ji, K., Zhao, A., Sun, X.*, & Wu, H. Improving mechanical properties of lattice structures using nonuniform hollow struts. International Journal of Mechanical Sciences, 2024, 109674. (SCI)

[6] Zhou, X., Liu, X., Zhao, A., Liu, C.*, & Wu, H. Spatial tuning of the positive and negative Poisson's ratio of metamaterials through gradient design. Thin-Walled Structures, 2024, 112382. (SCI)

[7] Zhou, Y., Zheng, Y., Zhang, Y., Wu, H., & Liu, C*. Inverse design of growth-inspired irregular architected materials for programmable properties. Extreme Mechanics Letters, 2024, 70, 102196. (SCI 本科生一作)

[8] Liu, C., & Wu, H. A. Deep Learning Accelerated Design of Bézier Curve-Based Cellular Metamaterials with Target Properties. International Journal of Applied Mechanics, 2024, 16(7), 2450067. (SCI)

[9] Zhou, Q., Zhao, A., Wang, H., & Liu, C.* Machine learning guided design of mechanically efficient metamaterials with auxeticity. Materials Today Communications, 2024, 39, 108944. (SCI)

[10] He, Q., Wang, Z., Liu, C.*, & Wu, H. Identifying nonuniform distributions of rock properties and hydraulic fracture trajectories through deep learning in unconventional reservoirs. Energy, 2024, 291, 130329. (SCI)

[11] 李金矿, 万文玉, 刘闯*. 形状记忆合金蜂窝结构抗冲击性能研究. 应用数学和力学, 2024, (1000-0887), 45(1). (中文核心)

[12] Liu, C.*, Wu H A. cv-PINN: Efficient learning of variational physics-informed neural network with domain decomposition. Extreme Mechanics Letters, 2023, 63: 102051. (SCI)

[13] Liu, C.*, Zhao A G, Wu H A. Competition growth of biwing hydraulic fractures in naturally fractured reservoirs. Gas Science and Engineering, 2023, 109: 204873. (SCI)

[14] Liu, C.*, Wu H A. A Variational Formulation of Physics-Informed Neural Network for the Applications of Homogeneous and Heterogeneous Material Properties Identification. International Journal of Applied Mechanics, 2023, 15(08): 2350065. (SCI)

[15] Liu, C., He Q, Zhao A, et al. Operator Learning for Predicting Mechanical Response of Hierarchical Composites with Applications of Inverse Design. International Journal of Applied Mechanics, 2023, 15(04): 2350028. (SCI)

[16] He Q S, Liu, C.*. Phase Field Modeling of Multiple Fracture Growth in Natural Fractured Reservoirs. Geofluids, 2023, 2023. (SCI)

[17] Liu, C.*, Wang Z. Numerical simulation of hydraulic fracture propagation in shale with plastic deformation. International Journal of Fracture, 2022, 238(2): 115-132. (SCI)

[18] Cao Y, He Q, Liu, C.*. Numerical Investigation of Fracture Morphology Characteristics in Heterogeneous Reservoirs. Processes, 2022, 10(12): 2604. (SCI)

[19] Liu, C., Zhang J N, Yu H, et al. New insights of natural fractures growth and stimulation optimization based on a three-dimensional cohesive zone model. Journal of Natural Gas Science and Engineering, 2020, 76: 103165. (SCI)

[20] Liu, C., Shen Y K, Zhang J N, et al. Production analysis in shale gas reservoirs based on fracturing-enhanced permeability areas. Science China Physics, Mechanics & Astronomy, 2019, 62(10): 104611. (SCI)

[21] Liu, C., Jin X, Shi F, et al. Numerical investigation on the critical factors in successfully creating fracture network in heterogeneous shale reservoirs. Journal of Natural Gas Science and Engineering, 2018, 59: 427-439. (SCI)

[22] Liu, C., Shi F, Lu D T, et al. Numerical simulation of simultaneous multiple fractures initiation in unconventional reservoirs through injection control of horizontal well. Journal of Petroleum Science and Engineering, 2017, 159: 603-613. (SCI)

[23] Liu, C., Shi F, Zhang Y P, et al. High injection rate stimulation for improving the fracture complexity in tight-oil sandstone reservoirs. Journal of Natural Gas Science and Engineering, 2017, 42: 133-141. (SCI)

[24] Liu, C., Wang X L, Deng D W, et al. Optimal spacing of sequential and simultaneous fracturing in horizontal well. Journal of Natural Gas Science and Engineering, 2016, 29: 329-336. (SCI)

[25] Liu, C., Liu H, Zhang Y P, et al. Optimal spacing of staged fracturing in horizontal shale-gas well. Journal of Petroleum Science and Engineering, 2015, 132: 86-93. (SCI)

[26] Zhao A#, Liu, C.#, Zheng Y, et al. Evaluation of shock migration performance for a multi-stable mechanical metamaterial. Composite Structures, 2023, 321: 117312. (SCI)

[27] Zhao A#, Liu, C.#, Zou H, et al. Massive and fast fabrication of pentamode devices through a multiphase honeycomb-corrugation configuration. Materials & Design, 2023, 228: 111816. (SCI)

[28] 曹玉玲, 何强胜, 刘闯*. 考虑页岩塑性变形的水力裂缝与天然裂缝相交模拟研究. 应用数学和力学, 2023，(1000-0887), 44(6). (中文核心)

[29] Zhao A, Jia H, Zhang M, Wang Z, Zhou P, Liu, C., ... & Song B. Design and experimental verification of a broadband multiphase pentamode material. Physical Review Applied, 2022, 18(3): 034001.

[30] Cao G, Zhang J, Guo Y, Liu, C., Micheal M, Lv C, ... & Wu H. Numerical modeling on friction and wear behaviors of all-metal progressive cavity pump. Journal of Petroleum Science and Engineering, 2022, 213: 110443.

[31] Zhang J, Yu H, Wang Q, Lv C, Liu, C., Shi F, & Wu H. Hydraulic fracture propagation at weak interfaces between contrasting layers in shale using XFEM with energy-based criterion. Journal of Natural Gas Science and Engineering, 2022, 101: 104502.

[32] Gao H L, Zhao R, Cui C, Zhu Y B, Chen S M, Pan Z, YF Meng, Wen SM, Liu, C., Wu HA, & Yu S H. Bioinspired hierarchical helical nanocomposite macrofibers based on bacterial cellulose nanofibers. National Science Review, 2020, 7(1): 73-83.

Ø 招生专业

硕士研究生：工程力学，土木水利。

Ø 毕业生情况（毕业年份）

2025年：周祥龙（发表SCI论文1篇，校卓越硕士学位论文，在中南大学读博）

倪瑞（发表SCI论文1篇，研究生国家奖学金，校卓越硕士学位论文）

周清（发表SCI论文1篇，校卓越硕士学位论文）

刘贤（发表SCI论文1篇）

 吉康（发表SCI论文1篇）

2024年：何强胜（发表SCI论文2篇，校优秀硕士论文，在南京航空航天大学读博）

王泽兴（发表SCI论文1篇，校三好学生，在重庆大学读博）

2023年：曹玉玲（发表SCI论文1篇，中文核心1篇）

Ø 联系方式

Email：liuc@njtech.edu.cn

课题组公众号：