Publications

 

2026   |   2025

2026

  1. Yu, J.; Zhao, J.; Soga, K.; Zhao, S.; Liang, W. (2026). A fully coupled THMC-MPM framework for modeling phase transition and large deformation in methane hydrate-bearing sediment. Journal of the Mechanics and Physics of Solids, 206, 106368. doi: 10.1016/j.jmps.2025.106368.

  2. Liang, Z.; Chan, J.C.F.; Zhang, J.; Liang, Z.; Wang, B.; Wang, M.; Cheng, J.C.P. (2026). Multimodal LLM-driven language-embedded 3D gaussian splatting for semantic and realistic digitization of historical buildings. Automation in Construction, 181, 106628. doi: 10.1016/j.autcon.2025.106628.

  3. Cheng, Z.; Zhao, S.; Chen, H.; Zhao, J. (2026). Stabilized explicit material point method for fluid flow and fluid-structure interaction simulations using dual high-order B-spline volume averaging. Computer Methods in Applied Mechanics and Engineering, 448, 118428. doi: 10.1016/j.cma.2025.118428.

  4. Yu, T.; Zhao, J. (2026). GPU-optimized adaptive mesh refinement for scalable two-phase resolved CFD-DEM simulations on unstructured hexahedral grids. Computer Physics Communications, 319, 109939. doi: 10.1016/j.cpc.2025.109939.

  5. Chen, H.; Zhao, S.; Zhao, J. (2026). Heterogeneous hybrid resolved–unresolved CFD–DEM coupling for fluid–particle interactions. International Journal of Mechanical Sciences, 309, 110992. doi: 10.1016/j.ijmecsci.2025.110992.

  6. Feng, R.; Zhao, J.; Chen, J. (2026). A 3D multiphase SPH framework for modelling soil-water interaction in rainfall-landslide-tsunami cascades. Engineering Geology, 361, 108495. doi: 10.1016/j.enggeo.2025.108495.

  7. Feng, R.; Zhao, J.; Fourtakas, G.; Rogers, B.D. (2026). GeoDualSPHysics: a high-performance SPH solver for large deformation modelling of geomaterials with two-way coupling to multi-body systems. Computer Physics Communications, 320, 109965. doi: 10.1016/j.cpc.2025.109965.

  8. Yu, T.; Zhao, J. (2026). Resolved CFD-DEM for high-fidelity multiphase flow modeling in porous media of arbitrary geometry. Computer Methods in Applied Mechanics and Engineering, 450, 118676. doi: 10.1016/j.cma.2025.118676.

  9. Wang, M.; Qu, T.; Guan, S.; Feng, Y.T.; Zhao, J. (2026). Differentiable constitutive modelling of granular media: From surrogate material model in explicit FEM-DEM to automatic elastoplastic calibration. International Journal of Plasticity, 201, 104687. doi: 10.1016/j.ijplas.2026.104687.

  10. Bagnasco, T.; Stocchino, A.; Vousdoukas, M.I.; Wang, J. (2026). Characterization of significant wave height trends in the South China Sea based on wave hindcast results: A non-stationary extreme value approach. Applied Ocean Research, 173, 105153. doi: 10.1016/j.apor.2026.105153.

  11. Zhong, X.; Jiang, W.; Sebastian, A.; Stocchino, A.; Zhang, J. (2026). Spatially localized dimensionality reduction for storm surge analysis: a Non-negative Matrix Factorization framework for imputation, bias correction, and surrogate modeling. Applied Ocean Research, 170, 105061. doi: 10.1016/j.apor.2026.105061.

  12. Zhao, M.; Cai, J.; Zhou, M.; Huang, B. (2026). SuperSTF: A latent diffusion model for cloud-free spatiotemporal remote sensing image fusion. ISPRS Journal of Photogrammetry and Remote Sensing, 235, 1-18. doi: 10.1016/j.isprsjprs.2026.02.037.

  13. Zhang, Z.; Yang, J.; Fu, L. (2026). A new geometric Volume-of-Fluid advection scheme using Lagrangian volume particles in two-dimensional multi-material fluids. Computer Physics Communications, 326, 110212. doi: 10.1016/j.cpc.2026.110212.

  14. Lu, S.; Ying, A.; Lu, M.; Fu, L. (2026). Adaptive energy-preserving mapping strategy for inflow turbulence generation in large-eddy simulations of atmospheric boundary layer. Physical Review Fluids, 11(5), 054605. doi: 10.1103/2pcg-yf4r.

  15. Ying, A.; Li, Z.; Fu, L. (2026). Reynolds number invariance in the coherent structures of wall-bounded turbulence. Journal of Fluid Mechanics, 1036, A17. doi: 10.1017/jfm.2026.11595.

  16. Sun, J.E.K.I.; Fu, L. (2026). A new mean temperature model for incompressible wall-bounded turbulence over a wide range of Prandtl numbers. Journal of Fluid Mechanics, 1035, A34. doi: 10.1017/jfm.2026.11582.

  17. Sun, J.E.K.I.; Ying, A.; Fu, L. (2026). Uncovering the parameter variations of the inner–outer interaction model across incompressible and compressible wall-bounded turbulence. Journal of Fluid Mechanics, 1034, A8. doi: 10.1017/jfm.2026.11452.

  18. Zhao, Z.; Fu, L. (2026). Generalisation of the Prandtl relation for the skin-friction law to compressible turbulent channel and pipe flows. Journal of Fluid Mechanics, 1032, A72. doi: 10.1017/jfm.2026.11429.

  19. Song, D.; Huang, B.; Fu, L. (2026). A cut-cell based high-fidelity wall-modeled LES framework for compressible wall-bounded turbulent flows. Journal of Computational Physics, 557, 114821. doi: 10.1016/j.jcp.2026.114821.

  20. Liang, T.; Fu, L. (2026). A composite mean temperature transformation for compressible turbulent boundary layers. Journal of Fluid Mechanics, 1028, A12. doi: 10.1017/jfm.2025.11101.

  21. Gao, T.; Yuan, M.; Fu, L. (2026). Smoothed particle-mesh hydrodynamics (SPMH) for fluid-structure interactions involving thin structures. Journal of Computational Physics, 550, 114650. doi: 10.1016/j.jcp.2025.114650.

  22. Bai, T.; Fu, L. (2026). Logarithmic decay rate of streamwise turbulence intensity in incompressible channel flows with low and moderate Reynolds numbers. Physical Review Fluids, 11(1), 014601. doi: 10.1103/rw9m-rb28.

  23. Ying, A.; Li, Z.; Fu, L. (2026). Generalized synthetic inflow generation method for divergence-free inhomogeneous turbulence. Journal of Computational Physics, 548, 114593. doi: 10.1016/j.jcp.2025.114593.

  24. Huang, H.; Liang, T.; Yuan, M.; Fu, L. (2026). A Novel High-Order Shock-Capturing Limiter for RKDG Method on Unstructured Meshes via TENO Selection Strategies. Communications in Computational Physics, 39(2), 387-416. doi: 10.4208/cicp.oa-2025-0124.

  25. Shen, J.; Chen, X.; Fu, L. (2026). Development and assessment of an improved Baldwin-Lomax turbulence model for complex hypersonic flows in two and three dimensions. Computers & Fluids, 305, 106917. doi: 10.1016/j.compfluid.2025.106917.

  26. Huang, H.; Sun, J.E.K.I.; Fu, L. (2026). A review on the time-accurate and highly-stable explicit (TASE) scheme for solving stiff differential equations. Acta Mechanica Sinica, 42(3), 325813. doi: 10.1007/s10409-025-25813-x.

  27. Liang, T.; Fu, L. (2026). Finite-volume converged ENO scheme with adaptive mesh resolution for steady-state compressible flow simulation. Computer Physics Communications, 319, 109912. doi: 10.1016/j.cpc.2025.109912.

  28. He, Y.; Zhou, Z.; Wang, G.; Wang, L.; Gao, W.; Su, Q.; Dong, G. (2026). The role of directional distribution in shaping asymmetry and energy distribution of 3D irregular focused waves. Ocean Engineering, 347, 124053. doi: 10.1016/j.oceaneng.2025.124053.

  29. He, M.; Tan, T.; Gu, Q.; Zhou, Z.; Gao, W.; Wang, W.; Zhang, N.; Su, Q. (2026). Experimental study on flow field characteristics around a novel composite enclosure aquaculture facility module under steady current conditions. Ocean Engineering, 357, 125606. doi: 10.1016/j.oceaneng.2026.125606.

  30. He, G.-F.; Yin, Z.-Y.; Zhao, J.; Jin, Y.-F. (2026). Probabilistic and Data-Efficient Modelling of Soil Properties: Review, Tool Development and Practical Applications. Archives of Computational Methods in Engineering, 33(5), 7139-7163. doi: 10.1007/s11831-026-10529-3.

  31. Feng, H.; Yin, Z.-Y. (2026). Soil surface erosion simulation using material point method. International Journal of Mechanical Sciences, 316, 111470. doi: 10.1016/j.ijmecsci.2026.111470.

  32. Xu, K.; Zhang, N.; Yin, Z.-Y.; Li, K.-Q. (2026). Hierarchical physics-guided neural network for sparse-data heterogeneous material identification. International Journal of Mechanical Sciences, 313, 111291. doi: 10.1016/j.ijmecsci.2026.111291.

  33. Liu, X.-Q.; Li, K.-Q.; Yin, Z.-Y. (2026). AGF-PINN-HC: hard-constrained enhanced physics-informed neural networks for multi-pipe heat transfer in artificial ground freezing. Canadian Geotechnical Journal, 63, 1-22. doi: 10.1139/cgj-2025-0990.

  34. Chen, X.-X.; Zeng, B.; Wang, X.; Sun, H.; Yin, Z.-Y. (2026). Physics-encoded recurrent graph neural network for long-term consolidation. International Journal of Mechanical Sciences, 314, 111414. doi: 10.1016/j.ijmecsci.2026.111414.

  35. Wang, X.; Zhao, J.; Yin, Z.-Y.; Zhuang, X. (2026). Failure mechanisms and resolution in deep energy method. International Journal of Mechanical Sciences, 313, 111278. doi: 10.1016/j.ijmecsci.2026.111278.

2025

  1. Qu, T.; Zhao, J.; Feng, Y.T. (2025). Artificial intelligence for computational granular media. Computers and Geotechnics, 185, 107310. doi: 10.1016/j.compgeo.2025.107310.

  2. Das, A.P.; Zhao, J.; Sweijen, T. (2025). Micromechanical modeling of triphasic granular media. Proceedings of the National Academy of Sciences, 122(18), e2420314122. doi: 10.1073/pnas.2420314122.

  3. Yang, C.; Zhao, J.; Zhu, F.; Feng, R. (2025). A multi-horizon peridynamics for coupled fluid flow and heat transfer. Journal of Fluid Mechanics, 1010, A66. doi: 10.1017/jfm.2025.367.

  4. Yu, J.; Liang, W.; Zhao, J. (2025). Enhancing dynamic modeling of porous media with compressible fluid: A THM material point method with improved fractional step formulation. Computer Methods in Applied Mechanics and Engineering, 444, 118100. doi: 10.1016/j.cma.2025.118100.

  5. Wang, L.; Tan, W.; Thomas, M.; Leung, F.; Stocchino, A. (2025). Statistical design of submerged artificial oyster reefs using Design of Experiments and clustering strategies. Coastal Engineering, 200, 104751. doi: 10.1016/j.coastaleng.2025.104751.

  6. Zhang, E.; Su, H.; Chan, P.W.; Zhai, C.; Zhou, W.; Xu, W.; Hu, M.; Li, X.; Jia, Y.; Song, Y. (2025). Deep Learning‐Based MultiSource Satellite Data Fusion and Downscaling for Tropical Cyclone Wind Fields. Journal of Geophysical Research: Machine Learning and Computation, 2(4), e2025JH000792. doi: 10.1029/2025jh000792.

  7. Gao, T.; Yuan, M.; Fu, L. (2025). Smoothed Particle Hydrodynamics Enhanced With Unstructured Finite‐Volume Method for Low‐Speed Flows With Moving Boundaries. International Journal for Numerical Methods in Engineering, 126(19), e70150. doi: 10.1002/nme.70150.

  8. Li, R.; Fu, L.; Xu, C.-X. (2025). Correlations between streamwise velocity and temperature fluctuations in compressible turbulent channel flows from the perspective of coherent structures. Journal of Fluid Mechanics, 1019, A60. doi: 10.1017/jfm.2025.10645.

  9. Zhang, L.; Lu, M.; Bao, Q.; Zhao, Y.; Yang, J. (2025). Global performance benchmarking of artificial intelligence models in atmospheric river forecasting. Communications Earth & Environment, 6(1), 894. doi: 10.1038/s43247-025-02823-y.

  10. Zhang, O.Y.W.; Dai, L.; Lu, M. (2025). Future Meiyu Precipitation Change and Atmospheric River Impacts Across East Asia: Regional Disparities and Risks. Journal of Geophysical Research: Atmospheres, 130(21), e2025JD044116. doi: 10.1029/2025jd044116.

  11. Liang, W.; Chandra, B.; Yu, J.; Yin, Z.-Y.; Zhao, J. (2025). A Total‐Lagrangian Material Point Method for Fast and Stable Hydromechanical Modeling of Porous Media. International Journal for Numerical Methods in Engineering, 126(19), e70135. doi: 10.1002/nme.70135.

  12. Xu, H.-R.; Zhang, N.; Yin, Z.-Y.; Njock, P.G.A. (2025). Multimodal framework integrating multiple large language model agents for intelligent geotechnical design. Automation in Construction, 176, 106257. doi: 10.1016/j.autcon.2025.106257.

  13. Feng, H.; Yin, Z.-Y. (2025). Enhanced elastoplasticity-based frictional-collisional model for solid–fluid phase transition of granular media. Computers and Geotechnics, 183, 107218. doi: 10.1016/j.compgeo.2025.107218.

  14. Zhu, Z.; Qu, T.; Zhao, J. (2025). Single‐image 3D particle reconstruction via generative AI‐empowered large vision models. Computer-Aided Civil and Infrastructure Engineering, 40(28), 5288-5306. doi: 10.1111/mice.70113.

  15. Zhao, M.; Tang, L.; Chen, J.; Huang, B. (2025). URDM: Hyperspectral Unmixing Regularized by Diffusion Models. IEEE Transactions on Image Processing, 34, 8072-8085. doi: 10.1109/tip.2025.3638151.

  16. Xu, D.; Chen, X.; Fu, L. (2025). Temperature–velocity relation for laminar adiabatic and diabatic hypersonic boundary layers. Journal of Fluid Mechanics, 1023, A40. doi: 10.1017/jfm.2025.10843.

  17. Xie, M.; Li, Q.; Wu, S.; Liu, H.; Fu, L. (2025). Numerical simulation and modeling of a liquid jet in supersonic crossflow. Physical Review Fluids, 10(10), 104006. doi: 10.1103/srrr-bsml.

  18. Ying, A.; Li, Z.; Fu, L. (2025). A general framework for predicting mean profiles in compressible turbulent boundary layers with established scaling laws. Journal of Fluid Mechanics, 1021, A30. doi: 10.1017/jfm.2025.10699.

  19. Feng, H.; Yin, Z.-Y.; Qiu, Y. (2025). Two-phase two-point MPM modeling of submarine granular flows considering solid-to-fluid phase transition over frictional plane. Ocean Engineering, 341, 122798. doi: 10.1016/j.oceaneng.2025.122798.

  20. Wang, L.; Yin, Z.-Y.; Chen, W. (2025). Insights into 3D particle crushing under dynamic conditions using an improved variable bond force peridynamic model. Canadian Geotechnical Journal, 62, 1-22. doi: 10.1139/cgj-2025-0133.

  21. Yin, Z.-Y.; Zhang, P.; Sheil, B. (2025). Data-driven modelling in geomechanics and geoengineering. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 19(4), 751-754. doi: 10.1080/17499518.2025.2590600.

  22. Lyu, H.; Yin, Z.; Shen, S.; Chen, X.; Su, D. (2025). A novel framework incorporating machine learning into GIS for flood susceptibility prediction of urban metro systems. Science China Technological Sciences, 68(6), 1620701. doi: 10.1007/s11431-024-2925-8.

  23. He, G.-F.; Zhang, P.; Yin, Z.-Y. (2025). Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction. Data-Centric Engineering, 6, e20. doi: 10.1017/dce.2025.5.

  24. Chen, X.-X.; Zhang, P.; Yu, H.-S.; Yin, Z.-Y.; Sheil, B. (2025). Parsimonious Universal Function Approximator for Elastic and Elastoplastic Cavity Expansion Problems. Journal of Geotechnical and Geoenvironmental Engineering, 151(9), 04025093. doi: 10.1061/jggefk.gteng-13267.

  25. Chen, H.; Zhao, S.; Zhao, J. (2025). A sparse-memory-encoding GPU-MPM framework for large-scale simulations of granular flows. Computers and Geotechnics, 180, 107113. doi: 10.1016/j.compgeo.2025.107113.

  26. Zhao, S.; Chen, H.; Zhao, J. (2025). A physical-information-flow-constrained temporal graph neural network-based simulator for granular materials. Computer Methods in Applied Mechanics and Engineering, 433, 117536. doi: 10.1016/j.cma.2024.117536.