Fluid simulation is a central topic in computer graphics, encompassing a wide range of methodologies for modeling Newtonian, non-Newtonian, and viscoelastic behaviors across both single-phase and multiphase settings. Existing single-phase frameworks have achieved high visual fidelity, yet multiphase simulations remain limited in accurately capturing complex phase interactions, particularly under high-viscosity-ratio or viscoelastic conditions. To address these challenges, we develop a unified multiphase viscoelastic formulation capable of handling diverse fluid types-including Newtonian, shear-dependent non-Newtonian, and viscoelastic flows-within a single consistent framework. The formulation extends mixture-model approaches through a multi-mode conformation tensor representation, which enhances numerical stability via phase-level stress corrections and efficiently captures a broad spectrum of rheological behaviors. Compared with existing techniques, our framework achieves improved momentum-mass consistency and numerical stability, maintaining physically plausible results across wide viscosity ranges, advancing the state of the art in multiphase viscoelastic fluid simulation.

Bone cement filling is an important method for preventing osteoporosis and treating fractures. In bone cement filling surgery, the preparation and dosage of the cement usually depend on specific product manuals and the doctor’s experience. If bone cement is not used properly, it may cause additional damage. For teaching and auxiliary medical purposes, for example, assisting doctors to observe the possible flow of bone cement, this paper proposes a multiphase non-Newtonian fluid simulation method to simulate and visualize the flow behavior during the wet sand phase of bone cement blending and polymerization. Our method enables showing intuitively the application process of bone cement under different scene settings to obtain dynamic bone cement effects with high stability and performance. Compared with other methods, our method can simulate highly viscous mixed fluids efficiently and robustly, which supports our method’s usage in the aforementioned training and experimentation scenarios.

Reconfigurable antennas can provide superior performance over legacy antennas, since they can dynamically reshape the channels by configuring the optimal operation mode. In this paper, we focus on the effectiveness of applying reconfigurable antennas in an industrial multi-user MIMO system. Firstly, we propose a new reconfigurable antenna structure that can realize dual-polarization independent control of operation modes. Then, we capture the relationship between the cell throughput performance with the operation modes of the reconfigurable antennas, based on which a mode selection problem is formulated. Additionally, we propose an efficient downlink transmission scheme for the reconfigurable MIMO system and design a near-optimal but low-complexity joint mode selection and user scheduling algorithm. Numerical results validate the superiority of reconfigurable MIMO systems over legacy MIMO systems, and also demonstrate the effectiveness of the proposed algorithm.