Radiation transport and burn-up
Simulations exploring the degradation and evolution of advanced fuels, predicting not only the most likely outcome but the probability of all possible outcomes. Enabling safe optimisation of burn-up.
The Machine Learning Partner for Fission
From radiation transport and engineering design to material science and criticality analysis, our pioneering probabilistic methods enable your engineers and scientists to leverage expert opinion for safety-critical fission applications.
Our Expertise in Fission
Explore our case studies and technical demos
Simulations exploring the degradation and evolution of advanced fuels, predicting not only the most likely outcome but the probability of all possible outcomes. Enabling safe optimisation of burn-up.
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 the execution and simulation of large and expensive simulations to understand the possible outcomes.
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 Fission?