Plasma State Simulation
Using twinLab to efficiently build robust emulators for prediction of computationally intensive gyro-kinetic simulations - enabling an understanding of the formation of plasma turbulences
The Machine Learning Partner for Fusion
From plasma physics to engineering design and material science, our pioneering Bayesian methods enable your engineers and scientists to leverage expert opinion for mission-critical fusion applications.
Our Expertise in Fusion
Explore our case studies and technical demos
Using twinLab to efficiently build robust emulators for prediction of computationally intensive gyro-kinetic simulations - enabling an understanding of the formation of plasma turbulences
Leveraging transfer learning and physical constraints to optimise the knowledge gain of how materials will operate, while quantifying which physical properties are driving the uncertainty in operation
Optimising diagnostic response data to optimise the control of precision actuators to accurately operate a fusion reactor within a desired experimental regime
UQ in systems level design enables an understanding of the risk posed by uncertainty in a system, and a way to direct resource to the significant source of that uncertainty.
How twinLab powers Fusion?