Recent advances in computational fluid simulation have significantly expanded its role in addressing complex industrial challenges. Modern fluid systems—across energy, aerospace, ocean, environmental, and process engineering—feature complex geometries, turbulence, and strong multiphysics coupling. To address these, advanced approaches integrating high-fidelity modeling, multiphysics simulation, and data-driven techniques are increasingly adopted to provide accurate and efficient predictions. This minisymposium focuses on applications of advanced computational fluid simulation and how state-of-the-art methodologies translate into practical industrial value. Emphasis is placed on high-fidelity numerical methods, multiphysics frameworks, and data-driven approaches for improving performance, safety, and decision-making. Contributions are invited on high-resolution simulations enabled by advanced numerical methods and high-performance computing (HPC), including GPU acceleration and large-scale parallelization. Multiphysics modeling—such as fluid–structure interaction, heat transfer, reactive flows, and particulate systems—is a key focus for capturing real-world processes. Both mesh-based and particle-based approaches are within scope, recognizing their complementary strengths in handling complex interfaces, large deformation, and multiphase phenomena. The minisymposium will also highlight data-driven methodologies, including machine learning-assisted modeling, surrogate models, and reduced-order models, which enable faster simulations, real-time predictions, and integration with digital twins and data assimilation frameworks. Applications include energy systems (nuclear and renewable), ocean engineering, industrial processes, environmental flows, and advanced manufacturing. Contributions demonstrating both methodological innovation and practical impact are encouraged. This minisymposium aims to bring together academia and industry to highlight current capabilities, challenges, and future directions toward robust, scalable, and application-driven simulation frameworks.