Speaker
Description
Abstract:
The realization of fusion reactor from present Tokamak possess multiple challenges. Creating a virtual Tokamak via digital-twin technology offers a promising solution, but is much more than usage of parallel computation alone. A comprehensive data-processing framework must include diverse inputs, i.e. from experiment/simulations to diagnostics and seamlessly integrate them into a real model.
Building on this foundation, our paper presents a digital twin framework [1] for the Aditya Tokamak [2] that enables volumetric visualization of plasma within its vacuum vessel. As a virtual replica of the physical system, the digital twin serves as a unified platform, integrating engineering design, scientific analysis and simulated/experimental data. The system should be interactive enough to navigate through in-vessel geometry to inspect plasma behaviour, perform quantitative analyses and capture temporal snapshots at chosen time points.
Comparative analysis of several graphics‐compute frameworks are evaluated to pinpoint the most effective platform. By integrating synthetic plasma datasets into the selected framework, we employ GPU-accelerated volumetric ray-marching alongside surface-based rendering in a three-dimensional environment, rendering the plasma as a smooth, colour-mapped volume inside static CAD model. In future, we plan to train AI and machine‐learning models on advanced physics solvers to accelerate the entire simulation-to-visualization workflow.
