2026
Li, G., Qiu, L., Wang, F., Lin, J., Zhuang, X., & Qin, Q. H. (2026). A novel physics-informed framework based on radial basis functions for solving forward and inverse elastostatic problems. Acta Mechanica Sinica/Lixue Xuebao, 42(9), Artikel 425967. https://doi.org/10.1007/s10409-026-25967-x
Li, Y., Sheng, M., Zhuang, X., Zhang, S., Tian, S., Huang, Z., & Li, G. (2026). Early risk warning model of hydraulic fracturing screen-out risk based on deep learning method. Advanced engineering informatics, 74, Artikel 104789. Vorzeitige Online-Publikation. https://doi.org/10.1016/j.aei.2026.104789
Li, B., Yue, Q., Nanthakumar, S. S., Rabczuk, T., & Zhuang, X. (2026). Isogeometric topology optimization of flexoelectric materials based on perturbation analysis. Computer Methods in Applied Mechanics and Engineering, 448, Artikel 118475. https://doi.org/10.1016/j.cma.2025.118475
Lv, W., Zhuang, X., Xia, X., Gu, X., & Zhang, Q. (2026). A unified energy framework combining nonlocal macro-meso-scale consistent damage and cohesive zone models for failure prediction of fiber-reinforced composites. Computer Methods in Applied Mechanics and Engineering, 460, Artikel 119101. Vorzeitige Online-Publikation. https://doi.org/10.1016/j.cma.2026.119101
Mortazavi, B., Shahrokhi, M., Shojaei, F., & Zhuang, X. (2026). Anisotropic optical, mechanical, and thermal properties in thickness-dependent semiconducting 2D penta-AuPS from first principles. Results in Engineering, 30, Artikel 110999. https://doi.org/10.1016/j.rineng.2026.110999
Mortazavi, B., Shahrokhi, M., Shojaei, F., & Zhuang, X. (2026). First-Principles Insights into Recently Synthesized α′–B8H4 Hydrogenated Borophene: A Stable Semiconducting Monolayer for UV Photodetection and Optoelectronic Applications. MATERIALS, 19(5), Artikel 907. https://doi.org/10.3390/ma19050907
Mortazavi, B., Karlický, F., Zhuang, X., & Shahrokhi, M. (2026). First-principles investigation of novel stable, strong, and highly attractive semiconducting nanoporous C3N and CN monolayers. Results in Chemistry, 21, Artikel 103088. https://doi.org/10.1016/j.rechem.2026.103088
Mortazavi, B., Shojaei, F., Shahrokhi, M., & Zhuang, X. (2026). Machine learning-assisted first-principles study of structural, electronic, optical, thermal, and mechanical properties of novel s-triazine-based organic framework monolayers. CARBON, 248, Artikel 121092. https://doi.org/10.1016/j.carbon.2025.121092
Mortazavi, B., Shojaei, F., Zhuang, X., & Shahrokhi, M. (2026). Novel bora- and aza-triangulene-based graphyne and graphdiyne: Stable and stretchable narrow-gap semiconductors explored by first principles and machine learning. Computational Materials Today, 10, Artikel 100057. https://doi.org/10.1016/j.commt.2026.100057
Rabczuk, T., Anitescu, C., Goswami, S., Zhuang, X., & Wang, Y. (2027). Scientific Machine Learning with Engineering Applications. Studies in Systems, Decision and Control, 667, 1-232. Vorzeitige Online-Publikation. https://doi.org/10.1007/978-3-032-20307-6
FINANZIERUNG
