SIMX Materials combines high-fidelity FEM simulations with AI and machine learning to solve complex challenges in fracture mechanics, fatigue, and advanced materials.
Structural analysis, fracture and fatigue, XFEM, multiphysics, and material modeling.
Data-driven models, surrogate modeling, crack growth prediction, and optimization.
Ceramics, composites, and process–structure–property relationships.
We integrate numerical simulation, materials science, and AI to support research and industry, providing innovative, reliable solutions for tomorrow’s engineering challenges.
Highlighting our projects in FEM simulations, AI-assisted fracture prediction, and data-driven materials design. Downloadable case studies and publications available upon request.
If you need to contact us, please email:
info@simxmaterials.eu
Website: www.simxmaterials.eu