The next generation ofcomputational engineering.
Seemlessly integrating classical and fractional CAE for the simulation of complex engineering systems.
Advanced CAE for multiscale and multiphysics engineering.
M3SIM develops computer-aided engineering (CAE) and scientific-computing tools that integrate classical and fractional models when physics demands it. We turn measured behavior into calibrated numerical models and scalable computation for engineering decisions.
Computational solid mechanics.
Modeling of mechanical and transport processes under memory-dependent, hereditary, and non-stationary conditions.
Coupled multiphysics behavior across length scales and operating conditions.
ML-assisted material discovery and data-informed calibration for effortless analysis setup.
Industry
For decision-critical CAE and FEA models requiring reliability across changing operating conditions.
Academia
For researchers advancing the application of fractional order models in computational physics.
National labs
For mission-driven simulation programs requiring traceable assumptions, and rigorous yet cutting-edge models for open-ended computational challenges.
When a CAE model is accurate in one regime, but does not generalize across operating conditions.
Classical finite element analysis remains the foundation of engineering simulations. In multiscale and multiphysics systems, however, a calibration that is accurate for one regime may lose predictive fidelity under different load histories, geometric scales, or coupled-field interactions. M3SIM develops and evaluates fractional and classical formulations to diagnose these gaps and improve model robustness for engineering decisions.
Where classical assumptions and fractional formulations diverge.
Not every CAE problem requires a fractional formulation. Some examples where fractional formulations can better represent the physical response.
Phractals: A fractional finite element platform for advanced CAE workflows.
Phractals is being developed for regimes where integer-order models can lose predictive fidelity across load history, scale interaction, and coupled physics.
Phractals is being built as a commercial, ready-to-deploy platform for solving fractional-order models in engineering practice. It is designed for industry, academia, and national-lab teams that need reproducible workflows to model phenomena that are often underrepresented by integer-order CAE formulations.
Work with M3SIM before Phractals launches.
M3SIM partners with teams on challenging CAE, finite element analysis, scientific computing, and engineering-design problems.