Mathematical modeling & simulation
We build and validate models that support design trades, control development, and performance prediction for complex systems operating under uncertainty. This work underpins every program we take on.
We deliver applied technical programs across three core capability areas, from physics-based modeling and simulation through prototype validation and fielded systems.
The areas where our experience runs deepest today. As an engineering and applied sciences institute, our capabilities grow with our programs and our team.
We build and validate models that support design trades, control development, and performance prediction for complex systems operating under uncertainty. This work underpins every program we take on.
Our work spans mission concept through embedded implementation, with an emphasis on systems that keep operating through external hazards and internal subsystem failures.
We develop and operate the computing infrastructure behind our high-fidelity simulation and scalable engineering analysis, and extend access to external research partners.
Selected programs spanning our capability areas.
Development of next-generation space infrastructure to support high-power orbital systems and distributed mission architectures through coordinated satellite energy sharing.
Development of computing infrastructure to support high-fidelity simulation, data-driven modeling, scalable engineering analysis, and external research compute access.
Enable autonomous satellite and robotic system operation under both external hazards and internal subsystem failures to extend operating life and ensure mission success.
Computational analysis of rover cooling systems to assess airflow paths, heat transfer, and thermal performance across representative operating conditions.