Author

C. Clauser

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Preprint Aug 2026

On the feasibility of model-based feedback control of vertical instability growth rate using out-vessel coils in ARC-like scenarios

In this work, we propose a model-based feedback controller that regulates the vertical instability growth rate ($\gamma_{gr}$) of a high-elongation, double-null tokamak directly, using only out-vessel poloidal field (PF) coils. High elongation raises the achievable plasma current and fusion performance but makes the pl...

Arunav Kumar, C. Clauser, T. Golfinopoulos et al. · 0 citations

#machine learning Preprint Sep 2026

Equation Recast for Canonical Operator Learning Across Parametric PDEs

Equation recast is introduced, which reformulates parametric operator learning as the learning of a single canonical operator, and provides a route toward reusable neural PDE solvers combining equation-guided transfer, data efficiency, and monitorable inference.

Qi-Yun Cheng, Valentin Duruisseaux, C. Clauser et al. · 0 citations