Computing
Computing accelerates fusion energy research via modelling, engineering design, materials analysis, and data processing – offering valuable insights to researchers.
Computing accelerates fusion energy research via modelling, engineering design, materials analysis, and data processing – offering valuable insights to researchers.
A ROS2 driver for robotics researchers and industrial users of Comau robots.
FISPACT-II is advanced nuclear simulation software providing predictive, spectral and temporal simulation methods using comprehensive nuclear data libraries.
UKAEA’s Fusion Computing Lab uses supercomputing, AI and digital twins to accelerate safe, scalable design of future fusion energy power plants
A python toolkit for fusion scientists studying neutronics or fast particle physics in tokamaks.
A pure-Python library to manage hierarchical datasets on the filesystem.
Developing international collaborations to help design and deliver the commercial fusion era.
An advanced AI tool has been developed by scientists for simulating fusion plasma, supporting designs for fusion power plants.
NESO-Particles is a performance portable library for particle data and looping operations for the fusion use case.
POMC GraphSearch.jl – an offline planning algorithm that performs Monte-Carlo Graph Search for POMDPs and stores policies as finite-state controllers (FSCs).