Radioss and OpenRadioss form a unique dual-solution approach, combining the industry-standard legacy of Radioss with the flexibility and collaborative potential of OpenRadioss. This synergy democratizes access to advanced explicit simulations, including Smoothed Particle Hydrodynamics (SPH), while accelerating innovation through open-source development & collaborations. Radioss has long been recognized as a leading solver for crash and impact simulations. Its SPH capabilities, based on Monaghan’s explicit SPH formulation, provide robust modeling of highly dynamic problems involving extreme deformations, fragmentation, and fluid-structure interactions. The solver integrates first-order SPH corrections for improved accuracy, artificial viscosity, and stabilization techniques for tensile instability like Monaghan’s artificial stress method. Additionally, comprehensive material laws and failure criteria ensure accuracy in multiphysics applications. Key SPH features include SPH symmetry boundary conditions using ghost particles, dynamic particle injection and removal for computational efficiency, and coupling with FEM through tied and contact interfaces. The innovative Sol2SPH approach further enhances computational efficiency by dynamically converting FEM elements to SPH particles during simulation. Several application examples in the field of fluid structure interaction and high-speed impact will illustrate how these capabilities can be combined to solve industrial challenges. Both Radioss and OpenRadioss are optimized for high-performance computing, supporting hybrid MPI + OpenMP parallelization. OpenRadioss extends accessibility, enabling broader adoption and fostering collaborations across academia, startups, and industry aiming to pursue modernization of the code, aiming to bring state-of-the-art innovative algorithms. This presentation highlights how Altair Radioss & OpenRadioss offer a unique and comprehensive solution for explicit simulations, positioning Radioss as key enabler in the evolution of SPH and particle-based methods. We will explore their role in bridging industrial needs with cutting-edge research, emphasizing the balance between legacy expertise and open-source-driven innovation.