Data science and simulation tools
At First Light Fusion, our data science and simulation tools form the heart of our ongoing research programme.
To achieve inertial fusion energy requires us to design incredibly complex physical systems where data is limited due to the high cost of simulations and experiments. First Light’s data science capability enables our teams to efficiently navigate this challenging domain. It helps us understand how our technology will perform in real world scenarios.
Our data science capabilities support every stage of the fusion research, development, and design process — from optimising the design of fusion targets or power-plant schemes, to analysing experimental results and calibrating physics models.
Our methods
We employ methods like design space exploration, uncertainty quantification, sensitivity analysis, and optimisation to design fusion targets. We also use data science techniques to fine-tune physics models, ensuring they accurately represent real-world behaviours.
AI models trained on proprietary simulation data accelerate our workflows. These capabilities are further enhanced by our cloud computing enabled software platform which captured our data science capabilities.
Advancing data science
Our data science platform allows us to better understand the potential of our targets, and how it would perform in integrated fusion systems, from demonstration facilities to prospective power plants. We use two flagship codes, Hytrac and B2, to enable cross-code comparisons where we would otherwise be developing models in isolation.
By advancing data science methodologies in IFE, we are accelerating the development of practical fusion energy solutions.