RS2N is a private research laboratory that creates numerical simulation tools for scientific problems in the physics and mechanics of continuous media. Their software operates on unstructured meshes and supports both explicit and implicit solution methods, enabling detailed modeling of fluid dynamics and heat transfer.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers and engineers working on fluid dynamics and heat transfer often lack flexible simulation tools that can handle complex geometries and provide both explicit and implicit solution capabilities on unstructured meshes. This limits the accuracy and efficiency of modeling continuous media in scientific and industrial applications.
Solution
RS2N develops specialized numerical simulation software designed for the physics and mechanics of continuous media. The platform operates on fully unstructured meshes, allowing detailed representation of intricate geometries without the constraints of structured grids. It offers both explicit and implicit solvers, enabling users to choose the most appropriate method for stability and performance in a given problem. The software is built on validated computational techniques that have been published in leading journals, ensuring scientific rigor and reliability. By providing a high‑fidelity, adaptable simulation environment, RS2N helps users obtain accurate fluid flow and heat transfer results for research and development projects.
Target Audience
Primary customers are academic research groups, R&D departments in aerospace, automotive, and energy sectors, and engineering consultancies that require advanced CFD and thermal analysis tools for complex continuous media problems.
Features
- Unstructured mesh support for complex three‑dimensional geometries
- Dual solution modes: explicit time integration for fast transient problems and implicit schemes for stiff or steady‑state analyses
- Integrated fluid dynamics and heat transfer models with coupled multiphysics capabilities
- Proven algorithms documented in peer‑reviewed publications (e.g., Physics of Fluids, Journal of Computational Physics)
- Modular code architecture facilitating customization and extension for specific research needs
- High‑performance computing compatibility for large‑scale simulations