Fusion Energy - GitHub
A workshop covering a range of fusion relevant analysis and simulations with OpenMC, DAGMC, Paramak and other open source fusion neutronics tools.
A workshop covering a range of fusion relevant analysis and simulations with OpenMC, DAGMC, Paramak and other open source fusion neutronics tools.
# Software. Here is a selection of our software. Bluemira is an integrated inter-disciplinary design tool for future fusion machines. A design created using Bluemira. A data management system designed for fusion research, enabling efficient storage, retrieval, and management of experimental data. FISPACT-II is advanced nuclear simulation software providing predictive, spectral and temporal simulation methods using comprehensive nuclear data libraries. NESO-Particles is a performance portable library for particle data and looping operations for the fusion use case. Fusion Power Plant Systems Codes: We explore the conceptual design and feasibility of a possible fusion power plant. ## Platforms and tools. We operate a diverse range of computing platforms and tools in support of fusion research and engineering. We partner with key collaborators globally to provide cutting-edge supercomputing, modelling, visualisation, data management and AI/ML capabilities. We are part of a global network of computing partners. Find out more about how our teams are accelerating fusion energy research.
Fusion is all about visualizing atoms combining together and how this releases energy. With this simulation, you'll interact with 3D atoms and combine them with
The idea is to create a platform where companies can interactively test and build both predefined and custom models. Key parameters might
# **FROG: Advancing Nuclear Fusion Research with Precision Neutron Generation Simulation**. ###### FROG empowers researchers and engineers with a powerful tool to simulate and design fission-to-fusion neutron converters, enhancing nuclear research capabilities with high-energy neutron flux predictions. FROG, the Fusion neutron Generator, is an innovative code developed to simulate high-energy neutron yields from fission-fusion reactions, utilizing the Geant4 toolkit to facilitate the design of devices that generate fusion reactor-like neutron spectra within thermal fission reactors. FROG addresses this gap by providing a sophisticated simulation environment for the development of neutron converters that bridge thermal and fusion neutron energies, crucial for experimental and material research in nuclear physics. By allowing for customizable device geometries and materials, FROG serves as an invaluable resource for creating neutron spectra analogous to those found in fusion reactors, thereby supporting a wide range of nuclear research applications. Explore the frontier of nuclear fusion technology by leveraging this sophisticated simulation tool, designed to guide the development of innovative neutron converters for the nuclear research community.
The US Department of Energy (DOE) has identified WDM as a high-priority need for “assessments of reactor performance in order to minimize risk and qualify operating scenarios for next-step burning plasma experiments.” This need is reflected in the WDMApp documentation overview, which states, “The Whole Device Model Application (WDMApp) in the DOE Exascale Computing Project (ECP) is developing a high-fidelity model of magnetically confined fusion plasmas, urgently needed to plan experiments on ITER and optimize the design of next-step fusion facilities.”. Publication of the WDMApp coupled edge-core simulation result addresses one of the key integration issues highlighted in the recommendation by the recent 2021 National Academies of Sciences, Engineering, and Medicine (NASEM) report, Bringing Fusion to the U.S. Grid: “As fusion concepts approach performance metrics required for a pilot plant, the Department of Energy should support innovative facilities capable of solving key integration physics issues including core-edge integration of a high fusion performance core with a boundary consistent with long-term survival of plasma-facing materials and exhaust of heat and helium ash.
The tool will utilize the best modeling and simulation tools, advanced machine learning methods and high-performance computing to optimize and accelerate the fusion power plant design process. Collins, who leads the team, said FREDA will be the first fusion modeling tool to connect plasma and engineering models in a self-consistent, modular fashion to perform multiphysics, multi-fidelity analyses of reactor designs using scaled high-performance computational resources. “The models of the systems outside of the plasma, like structural mechanics, computational fluid dynamics, and neutronics analysis, can be quite similar between fusion and fission,” Borowiec said. Ultimately, the goal of FREDA is to create a tool for research organizations and private companies who want to design and build fusion devices for power generation or other scientific purposes. “Integrated modeling for the fusion community has a long, long history, but just now our capabilities are evolving very rapidly, and we have made enough progress to actually apply them to reactor design,” Park said.
Fusion's future depends on decoding plasma's mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.