2026
Cai, R., Pu, X., Jin, Y., Zhuang, X., & Rabczuk, T. (2026). On-demand optimal design of Rayleigh wave metasurfaces. International Journal of Mechanical Sciences, 325, Artikel 111821. https://doi.org/10.1016/j.ijmecsci.2026.111821
Duan, Y., Yu, Y., Ren, H., Bie, Y., Zhuang, X., & Rabczuk, T. (2026). A unified anisotropic VDM–PFM theory for failure in fiber-reinforced composite materials. Journal of the Mechanics and Physics of Solids, 215, Artikel 106739. https://doi.org/10.1016/j.jmps.2026.106739
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. https://doi.org/10.1016/j.aei.2026.104789
Yao, D., Zhuang, X., Zhu, M., & Zhu, H. (2026). Semantic fusion and structured attention for intelligent simulation and optimization in underground excavation. Automation in construction, 189, Artikel 107050. https://doi.org/10.1016/j.autcon.2026.107050
Han, S., Zhou, Q., Feng, W., Dong, E., Hu, X., & Zhuang, X. (2026). Slip stability of gouge-filled faults under fluid injection. Geophysical journal international, 246(3), Artikel ggag212. https://doi.org/10.1093/gji/ggag212
Zou, S., Qiu, L., Wang, F., Qu, W., & Zhuang, X. (2026). Transfer learning enhanced spectral integrated neural networks for structural vibration analysis. Engineering Analysis with Boundary Elements, 190, Artikel 106886. https://doi.org/10.1016/j.enganabound.2026.106886
Xu, W., Zhuang, X., Xi, Q., Nanthakumar, S. S., & Fu, Z. (2026). A novel computational framework based on localized method of fundamental solution for heat conduction in anisotropic and nonhomogeneous multi-materials. International Journal of Heat and Mass Transfer, 264, Artikel 128787. https://doi.org/10.1016/j.ijheatmasstransfer.2026.128787
Eshaghi, M. S., Anitescu, C., Valizadeh, N., Wang, Y., Zhuang, X., & Rabczuk, T. (2026). NOWS: Neural Operator Warm Starts for accelerating iterative solvers. Computer Methods in Applied Mechanics and Engineering, 458, Artikel 118989. https://doi.org/10.1016/j.cma.2026.118989
Wang, Y., Anitescu, C., Sadegh Eshaghi, M., Zhuang, X., Rabczuk, T., & Liu, Y. (2026). Deep energy method with large language model-assisted geometry modeling: an open-source streamlit-based platform for solving variational PDEs. Computers and Structures, 329, Artikel 108302. https://doi.org/10.1016/j.compstruc.2026.108302
Gong, Y., He, Y., Mei, Y., Zhuang, X., Qin, F., & Rabczuk, T. (2026). Physics-informed Kolmogorov-Arnold networks for multi-material elasticity problems in electronic packaging. Applied mathematical modelling, 156, Artikel 116793. https://doi.org/10.1016/j.apm.2026.116793, https://doi.org/10.48550/arXiv.2508.16999
Wang, Y., Hao, Z., Eshaghi, M. S., Anitescu, C., Zhuang, X., Rabczuk, T., & Liu, Y. (2026). Pretrain finite element method: A pretraining and warm-start framework for PDEs via physics-informed neural operators. Journal of the Mechanics and Physics of Solids, 214, Artikel 106682. https://doi.org/10.1016/j.jmps.2026.106682
Gómez, J. S. S. D., Heine, J., Abdelmeseih, M., Angulo M, A. M., May, S., Sorel, M., & Kues, M. (2026). On-chip dense quantum frequency comb generation via SFWM in an AlGaAs-on-insulator resonator. Optics letters, 51(15), 4420-4423. https://doi.org/10.1364/OL.605643
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
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
Bie, Y., Lan, T., Ren, H., Duan, Y., Bui, T. Q., Zhuang, X., Rabczuk, T., & Wei, Y. (2026). The coupled elasto-viscoplasticity-damage model for finite deformation and interface failure in thermal barrier coatings by using the phase field method. Composite Structures, 389, Artikel 120428. https://doi.org/10.1016/j.compstruct.2026.120428
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
Adolfs, V., Rudolph, D. A., Spelthann, S., Antanovich, A., Chau, D. H., Chemnitz, M., Schmidt, M. A., Lauth, J., & Steinke, M. (2026). Stimulated Emission from 2D CdSe/CdS Nanoplatelets Integrated in a Liquid-Core Fiber. Nano letters, 26(18), 6019-6025. https://doi.org/10.1021/acs.nanolett.5c05747
Nanda, A., Rittmeier, A., Rüsseler, A. K., Hinkelmann, M., Kues, M., & Lesina, A. C. (2026). Inverse design of 3D polymer integrated optics compatible with multi-photon lithography. Optics letters, 51(9), 2516-2519. https://doi.org/10.1364/OL.590077
Eshaghi, M. S., Valizadeh, N., Anitescu, C., Wang, Y., Zhuang, X., & Rabczuk, T. (2026). Multi-head neural operator for modeling interfacial dynamics. International Journal of Mechanical Sciences, 317, Artikel 111363. https://doi.org/10.1016/j.ijmecsci.2026.111363
Zhang, R., Li, B., Rabczuk, T., Fu, X., & Zhuang, X. (2026). Second-order homogenization of flexoelectric composites for piezoelectric behavior. International Journal of Mechanical Sciences, 317, Artikel 111494. https://doi.org/10.1016/j.ijmecsci.2026.111494
Huynh, H. D., Nanthakumar, S. S., & Zhuang, X. (2026). General restrictions on flexoelectric Willis material properties. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 482(2338), Artikel 20250709. https://doi.org/10.1098/rspa.2025.0709
Hong, A., Liao, X., Zheng, H., & Zhuang, X. (2026). Simulation of soil collapse based on the local radial basis function collocation method. Engineering Analysis with Boundary Elements, 186, Artikel 106687. https://doi.org/10.1016/j.enganabound.2026.106687
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
He, L., Jin, Y., Edelstein, S., García, P. D., Rabczuk, T., Zhuang, X., & Torrent, D. (2026). Nonlinear spatiotemporal dynamics in magnetic dipole systems for physical reservoir computing. Nonlinear dynamics, 114(6), Artikel 422. Vorzeitige Online-Publikation. https://doi.org/10.1007/s11071-026-12291-4
Wang, Y., Li, X., Yan, Z., Ma, S., Bai, J., Liu, B., Zhuang, X., Rabczuk, T., & Liu, Y. (2026). A pretraining-finetuning computational framework for material homogenization. International Journal of Mechanical Sciences, 314, Artikel 111388. https://doi.org/10.1016/j.ijmecsci.2026.111388
Yue, Q., Zhuang, X., Li, B., Areias, P., Żur, K. K., & Rabczuk, T. (2026). A phase-field fracture model for flexoelectric structures. International Journal of Mechanical Sciences, 313, Artikel 111170. https://doi.org/10.1016/j.ijmecsci.2026.111170
Wang, X., Zhao, J., Yin, Z. Y., & Zhuang, X. (2026). Failure mechanisms and resolution in deep energy method. International Journal of Mechanical Sciences, 313, Artikel 111278. https://doi.org/10.1016/j.ijmecsci.2026.111278
Gong, Y., Li, S., Mei, Y., Xu, B., Qin, F., Zhuang, X., & Rabczuk, T. (2026). A coupled finite element-virtual element method for thermomechanical analysis of electronic packaging structures. Engineering Analysis with Boundary Elements, 184, Artikel 106640. https://doi.org/10.1016/j.enganabound.2026.106640, https://doi.org/10.48550/arXiv.2511.09348
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., 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
Wildhagen, M., Malke, N., Wang, Q., Zhuang, X., & Beutel, S. (2026). Optimized Bioconversion of Naringenin to Hesperetin in Escherichia coli With Halide Methyltransferase-Mediated S-Adenosylmethionine Regeneration. Engineering in life sciences, 26(2), Artikel e70069. https://doi.org/10.1002/elsc.70069
Rastipour, Z., Shahrokhi, M., Shojaei, F., Zhuang, X., & Mortazavi, B. (2026). Hetero[8]circulene-Based 2D Materials: A DFT Study of Electronic, Mechanical, and Transport Properties. ACS Applied Energy Materials, 9(4), 2089-2100. https://doi.org/10.1021/acsaem.5c03121
Han, S., Zhuang, X., Feng, W., Yao, Q., Zhou, Q., & Hu, X. (2026). Frictional strength and stability of laterally heterogeneous faults under fluid diffusion conditions. TECTONOPHYSICS, 922, Artikel 231057. https://doi.org/10.1016/j.tecto.2025.231057
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
Bie, Y., Ren, H., Duan, Y., Bui, T. Q., Zhuang, X., Madenci, E., Rabczuk, T., & Wei, Y. (2026). Abaqus implementation of coupled thermo-mechanical dual-horizon bond-based peridynamics for thermally induced fractures in thermal barrier coatings. Theoretical and Applied Fracture Mechanics, 141, Artikel 105298. https://doi.org/10.1016/j.tafmec.2025.105298
Duan, Y., Ren, H., Bie, Y., Zhuang, X., & Rabczuk, T. (2026). A unified variational damage model and an efficient length scale insensitive phase-field model. Journal of the Mechanics and Physics of Solids, 208, Artikel 106494. https://doi.org/10.1016/j.jmps.2025.106494
Hai, L., Huang, Y. J., Zhang, H., & Zhuang, X. Y. (2026). Efficient phase-field modelling of quasi-brittle fracture with a Taylor series-least square neighboured point method. Theoretical and Applied Fracture Mechanics, 141, Artikel 105309. https://doi.org/10.1016/j.tafmec.2025.105309
Cai, M., Rabczuk, T., Zhou, S., & Zhuang, X. (2026). Optimization of shield tunnel joints: Focusing on structural performance with considerations for low-carbon emissions and economic efficiency. Underground Space (new), 26, 412-434. https://doi.org/10.1016/j.undsp.2025.02.012
Zhuang, X., Hu, H., Nanthakumar, S. S., Tran, Q. T., Gong, Y., & Rabczuk, T. (2026). Variationally consistent Maxwell stress in flexoelectric structures under finite deformation and immersed in free space. Applied mathematical modelling, 150, Artikel 116327. https://doi.org/10.1016/j.apm.2025.116327
Yang, Y., Liu, Y., Miao, S., Pan, Y., Zhai, W., Zhuang, X., & Jin, Y. (2026). Sound-absorbing continuous fiber-reinforced composite metastructure. International Journal of Extreme Manufacturing, 8(3), Artikel 035501. https://doi.org/10.1088/2631-7990/ae35ea
Su, C., Lu, D., Zhuang, X., Rabczuk, T., Zhou, X., He, Q., & Du, X. (2026). An energy-limited gradient damage approach for 3D thermal fracture analysis. Computers and Structures, 321, Artikel 108084. https://doi.org/10.1016/j.compstruc.2025.108084
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
Huang, Y., Sun, G., Rabczuk, T., & Zhuang, X. (2026). Propagation and evolution graph method embedded with physical constraints for multi-factor coupled deep fault diagnosis in aero-engines. ENERGY, 342, Artikel 139555. https://doi.org/10.1016/j.energy.2025.139555
Li, M., Chen, H., Tang, Z., Zhuang, X., Xu, W., & Fu, Z. (2026). A DPIM-GFDM-PML framework for the modelling of stochastic response of elastic wave propagation in viscoelastic media. Soil Dynamics and Earthquake Engineering, 200, Artikel 109838. https://doi.org/10.1016/j.soildyn.2025.109838
Fu, J., Tan, W., Xiao, D., & Zhuang, X. (2026). Computational Intelligence in Stochastic Reconstruction of Porous Microstructures for Image-Based Poro/Micro-Mechanical Modeling. Archives of Computational Methods in Engineering, 33(1), 433-501. https://doi.org/10.1007/s11831-025-10313-9
2025
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
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
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
Li, B., Nanthakumar, S. S., & Zhuang, X. (2025). Density-based topology optimization of piezocomposite material using perturbation analysis and isogeometric analysis methods. Structural and Multidisciplinary Optimization, 68(12), Artikel 248. https://doi.org/10.1007/s00158-025-04170-0
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
Ren, H., Zhuang, X., Bie, Y., Zhu, H., & Rabczuk, T. (2025). Efficient Fracture Modeling in Beam–Column Structures Using a Variational Damage Model. International Journal of Computational Methods, 22(9), Artikel 2550016. https://doi.org/10.1142/S0219876225500161
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
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
Rittmeier, A., Gehrke, P., Sewidan, M. A., Chatzizyrli, E., Afentaki, A., Hoffmann, G. A., Neumann, J., Wienke, A., Kracht, D., Kues, M., & Hinkelmann, M. (2025). Strip-loaded waveguides on thin-film lithium niobate realized via multi-photon lithography. Optics express, 33(22), 45856-45868. https://doi.org/10.1364/OE.571365
Cai, M., Rabczuk, T., & Zhuang, X. (2025). Experimental study on ECC-based unreinforced shield tunnel segmental joints for future resilient infrastructure. Underground Space (new), 24, 283-310. https://doi.org/10.1016/j.undsp.2024.09.009
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
Cai, M., Liu, Y., Zhu, H., Rabczuk, T., Zhou, S., & Zhuang, X. (2025). Machine learning to estimate the tensile strength of cementitious composites. Structures, 80, Artikel 110032. https://doi.org/10.1016/j.istruc.2025.110032
Zhang, P., Kai, M. F., Zhuang, X. Y., & Dai, J. G. (2025). Multi-scale hygro-thermo-mechanical simulation of concrete drying shrinkage damage. International Journal of Mechanical Sciences, 301, Artikel 110546. https://doi.org/10.1016/j.ijmecsci.2025.110546
Wang, H., Yan, S., Zheng, H., & Zhuang, X. (2025). Elastic dental analysis of 3D layered composite structures based on the local RBF collocation method. Engineering Analysis with Boundary Elements, 178, Artikel 106301. https://doi.org/10.1016/j.enganabound.2025.106301
You, S., Liao, Q., Ling, F., Lei, G., Li, G., Tian, S., Sheng, M., Wang, T., Xue, L., Liu, X., Patil, S., & Zhuang, X. (2025). Pore-Scale Simulation for Fluid Flow in Digital Rocks Based on Decoupled Stokes Equation. SPE journal, 30(9), 5204-5224. https://doi.org/10.2118/228412-PA
Boussafa, Y., Sader, L., Hoang, V. T., Chaves, B. P., Bougaud, A., Fabert, M., Tonello, A., Dudley, J. M., Kues, M., & Wetzel, B. (2025). Deep learning prediction of noise-driven nonlinear instabilities in fibre optics. Nature Communications, 16(1), Artikel 7800. https://doi.org/10.1038/s41467-025-62713-x
Tran, T. V., Nanthakumar, S. S., Rabczuk, T., & Zhuang, X. (2025). On-Demand Inverse Design of Metamaterials Using Deep Neural Networks with Bayesian Optimization. Intelligent Computing, 4, Artikel 0139. https://doi.org/10.34133/icomputing.0139
Li, B., Nanthakumar, S. S., Pennec, Y., Djafari-Rouhani, B., & Zhuang, X. (2025). Topology optimization of phoxonic crystals for maximizing dual bandgaps using GA-SIMP method. International Journal of Mechanical Sciences, 300, Artikel 110359. https://doi.org/10.1016/j.ijmecsci.2025.110359
Zhang, R., Javvaji, B., Rabczuk, T., & Zhuang, X. (2025). Flexoelectricity of largely deformed graphene crumple nano sheet subject to hydrostatic pressure. Journal of applied physics, 138(6), Artikel 064302. https://doi.org/10.1063/5.0267922
Slinkov, G., Becker, S., Englund, D., & Stiller, B. (2025). All-optical nonlinear activation function based on stimulated Brillouin scattering. Nanophotonics, 14(16), 2711-2722. https://doi.org/10.1515/nanoph-2024-0513, https://doi.org/10.48550/arXiv.2401.05135
Rübeling, P., Marchukov, O. V., Bellotti, F. F., Hoff, U. B., Zinner, N. T., & Kues, M. (2025). In-situ training in programmable photonic frequency circuits. Nanophotonics, 14(16), 2779-2786. https://doi.org/10.1515/nanoph-2025-0125
Sader, L., Boussafa, Y., Hoang, V. T., Haldar, R., Kues, M., & Wetzel, B. (2025). Modulation instability control via evolutionarily optimized optical seeding. Nanophotonics, 14(16), 2821-2833. https://doi.org/10.1515/nanoph-2025-0070
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
Duan, Y., Zhuang, X., Ren, H., & Rabczuk, T. (2025). An open-source LS-DYNA implementation of the variational damage model. Advances in engineering software, 206, Artikel 103924. https://doi.org/10.1016/j.advengsoft.2025.103924
Su, C., Lu, D., Zhuang, X., Rabczuk, T., Zhou, X., & Du, X. (2025). A thermo-mechanical damage model for thermal crack propagation in brittle materials. Theoretical and Applied Fracture Mechanics, 138, Artikel 104912. https://doi.org/10.1016/j.tafmec.2025.104912
Zhuang, X., Tran, T. V., Nguyen-Xuan, H., & Rabczuk, T. (2025). Deep learning-based post-earthquake structural damage level recognition. Computers and Structures, 315, Artikel 107761. https://doi.org/10.1016/j.compstruc.2025.107761
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
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
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
Bente, I., Taheriniya, S., Lenzini, F., Brückerhoff-Plückelmann, F., Kues, M., Bhaskaran, H., Wright, C. D., & Pernice, W. (2025). The potential of multidimensional photonic computing. Nature Reviews Physics, 7(8), 439-450. https://doi.org/10.1038/s42254-025-00843-3
Zeng, X., & Stiller, B. (2025). Brillouin-enhanced four-wave mixing with optical chiral states. APL Photonics, 10(7), Artikel 076119. https://doi.org/10.1063/5.0265616
Bai, J., Wang, Y., Jeong, H., Chu, S., Wang, Q., Alzubaidi, L., Zhuang, X., Rabczuk, T., Xie, Y. M., Feng, X. Q., & Gu, Y. (2025). Towards the future of physics- and data-guided AI frameworks in computational mechanics. Acta Mechanica Sinica/Lixue Xuebao, 41(7), Artikel 225340. https://doi.org/10.1007/s10409-025-25340-x
Li, B., Zhang, R., Żur, K. K., Rabczuk, T., & Zhuang, X. (2025). Second-order computational homogenization of flexoelectric composites with isogeometric analysis. Computer Methods in Applied Mechanics and Engineering, 442, Artikel 118031. https://doi.org/10.1016/j.cma.2025.118031
Wang, Y., Bai, J., Eshaghi, M. S., Anitescu, C., Zhuang, X., Rabczuk, T., & Liu, Y. (2025). Transfer Learning in Physics-Informed Neurals Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation. International Journal of Mechanical System Dynamics, 5(2), 212-235. https://doi.org/10.1002/msd2.70030
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
Saffer, O., Marines Cabello, J. H., Becker, S., Geilen, A., & Stiller, B. (2025). Brillouin-based storage of QPSK signals with fully tunable phase retrieval. APL Photonics, 10(6), Artikel 060802. https://doi.org/10.1063/5.0241508, https://doi.org/10.48550/arXiv.2410.05156
Hui, C., Zhang, Y., An, Y., Hu, Z., Zhuang, X., Wang, J., Qin, Y., & Li, G. (2025). Experimental research on fracture initiation and propagation behavior in argillaceous silt hydrate reservoirs. Geoenergy Science and Engineering, 249, Artikel 213774. https://doi.org/10.1016/j.geoen.2025.213774
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
Huynh, H. D., Nanthakumar, S. S., Park, H. S., Rabczuk, T., & Zhuang, X. (2025). The effect of electro-momentum coupling on unidirectional zero reflection in layered generalized Willis Metamaterials. Extreme Mechanics Letters, 77, Artikel 102318. https://doi.org/10.1016/j.eml.2025.102318
Cai, R., Jin, Y., Pennec, Y., Rabczuk, T., Zhuang, X., & Djafari-Rouhani, B. (2025). Topological phase transitions of non-Hermitian periodic and disordered elastic systems. International Journal of Mechanical Sciences, 294, Artikel 110241. https://doi.org/10.1016/j.ijmecsci.2025.110241
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
Richter, J., Wang, Q., Lange, F., Thiel, P., Yilmaz, N., Solle, D., Zhuang, X., & Beutel, S. (2025). Machine Learning-Powered Optimization of a CHO Cell Cultivation Process. Biotechnology and bioengineering, 122(5), 1153-1164. https://doi.org/10.1002/bit.28943
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Kabylda, A., Mortazavi, B., Zhuang, X., & Tkatchenko, A. (2025). Mechanical Properties of Nanoporous Graphenes: Transferability of Graph Machine-Learned Force Fields Compared to Local and Reactive Potentials. Advanced functional materials, 35(13), Artikel 2417891. https://doi.org/10.1002/adfm.202417891
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
Cai, M., Zhu, H., Rabczuk, T., & Zhuang, X. (2025). Mixer influence on pore characteristics and fiber dispersion in Engineered Cementitious Composites across various strength grades. Construction and Building Materials, 467, Artikel 140380. https://doi.org/10.1016/j.conbuildmat.2025.140380
Zhang, R., Javvaji, B., Zhan, H., Xia, M., He, M., Fu, X., & Zhuang, X. (2025). Molecular dynamics simulation of tensile deformation mechanisms in nanocrystalline TWIP steel. Journal of Micromechanics and Molecular Physics, 10(1), 1-10. https://doi.org/10.1142/S2424913025500018
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
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
Zhang, Q., Valizadeh, N., Liu, M., Zhuang, X., & Mortazavi, B. (2025). Hierarchical multiscale fracture modeling of carbon-nitride nanosheet reinforced composites by combining cohesive phase-field and molecular dynamics. Composite Structures, 358, Artikel 118942. https://doi.org/10.1016/j.compstruct.2025.118942, https://doi.org/10.48550/arXiv.2411.14492
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
Wang, C., Fang, Z., Zhuang, X., Chen, Q., Han, K., & Zhou, S. (2025). External sulfate attack on cement-based materials in underground structures with the stray current. Construction and Building Materials, 465, Artikel 140284. https://doi.org/10.1016/j.conbuildmat.2025.140284
Valizadeh, N., Zhuang, X., & Rabczuk, T. (2025). A monolithic finite element method for phase-field modeling of fully Eulerian fluid–structure interaction. Computer Methods in Applied Mechanics and Engineering, 435, Artikel 117618. https://doi.org/10.1016/j.cma.2024.117618
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
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