Speaker
Description
In this talk, I will discuss how we are using advanced visualisation and immersive technologies to make fusion data more accessible, interactive, and meaningful. Fusion facilities, operations, and research generate vast, heterogeneous, and often multimodal data from different sources such as CAD models and diagnostics, multiphysics simulations, and AI predictions etc. These huge and complex datasets need not only high-performance computation but also thoughtful design, integration, and communication. Moreover, understanding these complex systems requires more than raw computational power; it requires connecting people to data in intuitive and context-aware ways.
A modular and flexible approach for the development of interoperable and stakeholder-aware visualisation workflows is not just a requirement but a necessity. We present the Fusion Information Visualisation for Experience Design (FIVExD) framework, which is a conceptual design framework in this talk. This very framework is being used at the UKAEA for the integration of several major facilities like MAST-U, CHIMERA, HIVE, and LIBRTI, along with leading collaborative and digital twin technologies such as NVIDIA Omniverse in the OpenUSD-based automated pipelines. The workflows being developed allow for the interoperability of engineering, diagnostics, and simulation data and thus provide for the seamless visualisation of data across different disciplines and use cases.
The applications of these include the use of photorealistic and scientific digital twins that integrate CAD models, simulation outputs, and live diagnostics within immersive visualisation and collaborative environments. AI-assisted dashboards and annotation tools enhance situational awareness and streamline visualisation setup, while Omniverse powered experiences, as well as AR and VR interfaces, extend these experiences into shared, spatially aware contexts. The central goal is to develop tools, technologies, and experiences that make it easier to conduct early design reviews, plan experiments, provide training, and outreach. Thus, they do not only support the scientific community but also facilitate communication with the general public by simplifying the technical knowledge and engineering processes into human-understandable forms.
Looking ahead, efforts are focused on developing AI-driven visual agents and adaptive XR interfaces capable of dynamically tailoring visualisation to user focus, experiment state, or data complexity. The amalgamation of design engineering with supercomputing, GPU rendering, and flexible cloud services such as the OVX visualisation cluster (we are about to launch), is aimed at creating visualisation ecosystems that are not only responsive but also simple to interface and interact with. The ecosystems will form an essential link among simulation, experiment, and human insight, supporting data-centric approaches to fusion system design and optimisation through advanced visualisation.
