Publikationen des CSST

2025


Chu, W., Fu, Z., Nanthakumar, S. S., Xu, W., & Zhuang, X. (2025). Intelligent inverse design of phononic crystals based on machine learning coupled with localized collocation meshless method. International Journal of Mechanics and Materials in Design, 21(3), 547-576. https://doi.org/10.1007/s10999-025-09749-5
Eshaghi, M. S., Bamdad, M., Anitescu, C., Wang, Y., Zhuang, X., & Rabczuk, T. (2025). Applications of scientific machine learning for the analysis of functionally graded porous beams. NEUROCOMPUTING, 619, Artikel 129119. https://doi.org/10.48550/arXiv.2408.02698, https://doi.org/10.1016/j.neucom.2024.129119
Eshaghi, M. S., Anitescu, C., Thombre, M., Wang, Y., Zhuang, X., & Rabczuk, T. (2025). Variational Physics-informed Neural Operator (VINO) for solving partial differential equations. Computer Methods in Applied Mechanics and Engineering, 437, Artikel 117785. https://doi.org/10.1016/j.cma.2025.117785, https://doi.org/10.48550/arXiv.2411.06587
Firouzi, N., Kamil Żur, K., Rabczuk, T., & Zhuang, X. (2025). Generalized reconfigurations and growth mechanics of biological structures considering regular and irregular features: A computational study. Computers and Structures, 315, Artikel 107781. https://doi.org/10.1016/j.compstruc.2025.107781
Gong, Y., He, Y., Hu, H., Zhuang, X., Qin, F., Xu, H., & Rabczuk, T. (2025). A coupled finite element–boundary element method for transient elastic dynamic analysis of electronic packaging structures. Engineering structures, 326, Artikel 119500. https://doi.org/10.1016/j.engstruct.2024.119500
Gong, Y., Kou, Y., Yue, Q., Zhuang, X., Valizadeh, N., Qin, F., Wang, Q., & Rabczuk, T. (2025). A phase-field study on thermo-mechanical coupled damage evolution and failure mechanisms of sintered silver interconnections. Engineering fracture mechanics, 320, Artikel 111039. https://doi.org/10.1016/j.engfracmech.2025.111039
Guo, H., Zhang, C., Fang, H., Rabczuk, T., & Zhuang, X. (2025). Deep learning to evaluate seismic-induced soil liquefaction and modified transfer learning between various data sources. Underground Space (new), 23, 220-242. https://doi.org/10.1016/j.undsp.2024.08.010
Guo, Y., Fu, Z., Min, J., Lin, S., Liu, X., Rashed, Y. F., & Zhuang, X. (2025). Long-term simulation of physical and mechanical behaviors using curriculum-transfer-learning based physics-informed neural networks. NEURAL NETWORKS, 191, Artikel 107825. https://doi.org/10.1016/j.neunet.2025.107825, https://doi.org/10.48550/arXiv.2502.07325
Han, S., Zhuang, X., Zhou, Q., Feng, W., Hu, X., & Yao, Q. (2025). Pressure heterogeneity caused by fluid injection and diffusion controls occurrence of induced earthquakes. Advances in Geo-Energy Research, 18(3), 242-256. https://doi.org/10.46690/ager.2025.12.04
Hu, H., Liu, Z., Liu, Q., Jiang, X., Zhuang, X., & Rabczuk, T. (2025). Computational flexoelectronics: A framework for analyzing PN junctions in flexoelectric semiconductors. International Journal of Mechanical Sciences, 305, Artikel 110740. https://doi.org/10.1016/j.ijmecsci.2025.110740

FINANZIERUNG

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