Artificial Intelligence

Enhance physics-based simulations with AI-driven techniques to achieve faster, smarter, and more efficient modeling solutions. Our expertise includes Surrogate Modeling for rapid approximations, Model-Based Control for adaptive optimization, and Reduced Order Modeling (ROM) to accelerate complex simulations. We also specialize in AI-powered Imaging, Measurement Surrogates for real-time system insights, Inverse Problems for parameter estimation and diagnostics, and Optimal Control for precision-driven decision-making. By integrating artificial intelligence with multiphysics modeling, we enable groundbreaking advancements across industries.

Surrogate Modeling

Surrogate Modeling

Using deep neural networks with an eye to deployment in real time embedded systems.
Measurement Surrogates

Measurement Surrogates

Use a real-time model to convert the signal of a cheap sensor into another physical quantity which is inherently expensive to measure.
Model Based Control

Model Based Control

Control of non-linear systems using a physics model or trained neural network.
Reduced Order Modeling

Reduced Order Modeling

Analytic, reduced order or neural network modeling of complex multiphysics systems.
Inverse Problems

Inverse Problems

Develop unique strategies to solve complex inverse problems.
Imaging

Imaging

Imaging methods which can be deployed with cheaper hardware than conventional systems.