Visualizing digital twins of fusion power plants using NVIDIA Omniverse

This paper discusses the NVIDIA Omniverse platform for visualizing and integrating digital twins of fusion power plants, focusing on enhancing the design, simulation, and operational workflows of complex fusion systems. As global fusion projects such as ITER, STEP, and CFETR move toward realizing pr...

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Main Authors: Nitesh Bhatia, Rui Costa, Stanislas J. P. Pamela, Andrew Davis, Alejandra N. Gonzalez Beltran, Vignesh Gopakumar, Lorenzo Zanisi, Shaun de Witt, Robert Akers
Format: Article
Language:English
Published: AIP Publishing LLC 2025-04-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/5.0261883
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author Nitesh Bhatia
Rui Costa
Stanislas J. P. Pamela
Andrew Davis
Alejandra N. Gonzalez Beltran
Vignesh Gopakumar
Lorenzo Zanisi
Shaun de Witt
Robert Akers
author_facet Nitesh Bhatia
Rui Costa
Stanislas J. P. Pamela
Andrew Davis
Alejandra N. Gonzalez Beltran
Vignesh Gopakumar
Lorenzo Zanisi
Shaun de Witt
Robert Akers
author_sort Nitesh Bhatia
collection DOAJ
description This paper discusses the NVIDIA Omniverse platform for visualizing and integrating digital twins of fusion power plants, focusing on enhancing the design, simulation, and operational workflows of complex fusion systems. As global fusion projects such as ITER, STEP, and CFETR move toward realizing practical fusion energy, sophisticated tools to model, simulate, and optimize such systems become increasingly critical. Digital twins are virtual replicas of physical systems that act as a “single source of truth” by integrating scientific analysis, engineering design, and real-time data integration. This paper outlines the workflow for creating and visualizing a digital twin of a tokamak, demonstrating the integration of computer-aided design models, simulation data, and material properties into Omniverse. It also provides a view of extending Omniverse with real-time data visualization, Python scripting, and generative AI in applications that make the digital twin even more functional and interactive, allowing seamless collaboration across teams and stakeholders. The interoperability challenges that limit the adoption of Omniverse in fusion research are also discussed. In conclusion, the paper outlines how Omniverse can create a comprehensive, immersive, and interactive environment that optimizes the design and operation of a fusion power plant. In the future, this approach may extend to developing more efficient and reliable fusion energy systems.
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spelling doaj-art-504e1972686c4b78b5b700522b806cf82025-08-20T01:48:12ZengAIP Publishing LLCAIP Advances2158-32262025-04-01154045018045018-810.1063/5.0261883Visualizing digital twins of fusion power plants using NVIDIA OmniverseNitesh Bhatia0Rui Costa1Stanislas J. P. Pamela2Andrew Davis3Alejandra N. Gonzalez Beltran4Vignesh Gopakumar5Lorenzo Zanisi6Shaun de Witt7Robert Akers8United Kingdom Atomic Energy Authority, Culham Campus, Abingdon OX143DB, United KingdomUnited Kingdom Atomic Energy Authority, Culham Campus, Abingdon OX143DB, United KingdomUnited Kingdom Atomic Energy Authority, Culham Campus, Abingdon OX143DB, United KingdomUnited Kingdom Atomic Energy Authority, Culham Campus, Abingdon OX143DB, United KingdomUnited Kingdom Atomic Energy Authority, Culham Campus, Abingdon OX143DB, United KingdomUnited Kingdom Atomic Energy Authority, Culham Campus, Abingdon OX143DB, United KingdomUnited Kingdom Atomic Energy Authority, Culham Campus, Abingdon OX143DB, United KingdomUnited Kingdom Atomic Energy Authority, Culham Campus, Abingdon OX143DB, United KingdomUnited Kingdom Atomic Energy Authority, Culham Campus, Abingdon OX143DB, United KingdomThis paper discusses the NVIDIA Omniverse platform for visualizing and integrating digital twins of fusion power plants, focusing on enhancing the design, simulation, and operational workflows of complex fusion systems. As global fusion projects such as ITER, STEP, and CFETR move toward realizing practical fusion energy, sophisticated tools to model, simulate, and optimize such systems become increasingly critical. Digital twins are virtual replicas of physical systems that act as a “single source of truth” by integrating scientific analysis, engineering design, and real-time data integration. This paper outlines the workflow for creating and visualizing a digital twin of a tokamak, demonstrating the integration of computer-aided design models, simulation data, and material properties into Omniverse. It also provides a view of extending Omniverse with real-time data visualization, Python scripting, and generative AI in applications that make the digital twin even more functional and interactive, allowing seamless collaboration across teams and stakeholders. The interoperability challenges that limit the adoption of Omniverse in fusion research are also discussed. In conclusion, the paper outlines how Omniverse can create a comprehensive, immersive, and interactive environment that optimizes the design and operation of a fusion power plant. In the future, this approach may extend to developing more efficient and reliable fusion energy systems.http://dx.doi.org/10.1063/5.0261883
spellingShingle Nitesh Bhatia
Rui Costa
Stanislas J. P. Pamela
Andrew Davis
Alejandra N. Gonzalez Beltran
Vignesh Gopakumar
Lorenzo Zanisi
Shaun de Witt
Robert Akers
Visualizing digital twins of fusion power plants using NVIDIA Omniverse
AIP Advances
title Visualizing digital twins of fusion power plants using NVIDIA Omniverse
title_full Visualizing digital twins of fusion power plants using NVIDIA Omniverse
title_fullStr Visualizing digital twins of fusion power plants using NVIDIA Omniverse
title_full_unstemmed Visualizing digital twins of fusion power plants using NVIDIA Omniverse
title_short Visualizing digital twins of fusion power plants using NVIDIA Omniverse
title_sort visualizing digital twins of fusion power plants using nvidia omniverse
url http://dx.doi.org/10.1063/5.0261883
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