Publikationen des CSST

2025


Liu, Q., Choyal, V. K., Hu, H., Rabczuk, T., Jiang, X., & Zhuang, X. (2025). Negative Out-of-Plane Electromechanical Response in Nonpiezoelectric van der Waals Layered Materials Encapsulated by Monolayer Boron Nitride. Journal of Physical Chemistry Letters, 16, 10848-10855. https://doi.org/10.1021/acs.jpclett.5c02427
Mortazavi, B., Shahrokhi, M., Shojaei, F., Rabczuk, T., & Zhuang, X. (2025). A machine learning-assisted exploration of the structural stability, electronic, optical, heat conduction and mechanical properties of C3N4 graphitic carbon nitride monolayers. Computational Materials Today, 5, Artikel 100024. https://doi.org/10.1016/j.commt.2024.100024
Nanthakumar, S. S., Nguyen, C., & Zhuang, X. (2025). Second-order phononic topological insulators and optimal energy harvesting. Journal of applied physics, 137(21), Artikel 213106. https://doi.org/10.1063/5.0263026
Nguyen, T. C. H., Zhuang, X., Le, A. T., Luong, V. H., & Vu-Bac, N. (2025). Fatigue Life Prediction Under Multiaxial Loading Using Machine Learning and Dependency-Aware Sensitivity Analysis. International Journal of Mechanical System Dynamics, 5(4), 736-761. https://doi.org/10.1002/msd2.70043
Ouyang, Q., Kang, G., Zhuang, X., Rabczuk, T., & Chen, P. (2025). Development of crack surface tracking algorithm for explosive fracture simulation with three-dimensional numerical manifold method. Engineering fracture mechanics, 313, Artikel 110645. https://doi.org/10.1016/j.engfracmech.2024.110645
Phuong, N. D., Tuyen, N. T., Nanthakumar, S. S., Chen, H., & Zhuang, X. (2025). A Novel Autoencoder Variant for Predicting 3D Printing Parameters From Geometric and Consumption Constraints. International Journal of Mechanical System Dynamics, 5(4), 596-628. https://doi.org/10.1002/msd2.70041
Phuong, N. D., Subbiah, N. S., Jin, Y., & Zhuang, X. (2025). Deep Learning-Based Inverse Design: Exploring Latent Space Information for Geometric Structure Optimization. CMES - Computer Modeling in Engineering and Sciences, 145(1), 263-303. https://doi.org/10.32604/cmes.2025.067100
Rajabpour, A., Mortazavi, B., Mirchi, P., El Hajj, J., Guo, Y., Zhuang, X., & Merabia, S. (2025). Accurate estimation of interfacial thermal conductance between silicon and diamond enabled by a machine learning interatomic potential. International Journal of Thermal Sciences, 214, Artikel 109876. https://doi.org/10.1016/j.ijthermalsci.2025.109876, https://doi.org/10.48550/arXiv.2407.15404
Rao, Y., He, L., Jin, Y., Zhu, H., Rabczuk, T., & Zhuang, X. (2025). Machine learning for transmission spectra prediction on gradient seismic metastructure. Computer physics communications, 315, Artikel 109750. https://doi.org/10.1016/j.cpc.2025.109750
Ren, H., Zhuang, X., Bie, Y., Rabczuk, T., & Zhu, H. (2025). Dual-horizon peridynamics-based variational damage modeling for complex dynamic fractures. Theoretical and Applied Fracture Mechanics, 138, Artikel 104974. https://doi.org/10.1016/j.tafmec.2025.104974

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