Session

DescriptionThis minisymposium explores how integrated co-design strategies strengthen confidence in computational models for fusion energy. It examines how GPU-accelerated architectures enhance the reliability and reproducibility of digital twins for plasma physics. Fusion energy research combines complex multi-physics phenomena with AI-driven models, requiring convergence between hardware innovation, software optimization, and scientific validation. The session brings together experts from academia, industry, and major European programmes to highlight co-design efforts that balance simulation scalability with scientific integrity. Via the contributions of EUROfusion partners (SCITAS and CINECA) and the technology partner NVIDIA, this minisymposium will discuss GPU-enabled advances in plasma modelling, uncertainty quantification, and digital twin fidelity. The discussion emphasizes verification, validation, and reproducibility as foundational to scientific trust in high-performance fusion research. The session aims to demonstrate concrete co-design pathways from hardware to scientific validation, establish a reference architecture for trustworthy digital twins applicable beyond fusion, foster collaboration among HPC engineers, domain scientists, and AI experts, and produce actionable guidelines enhancing reproducibility and transparency in co-designed HPC applications.