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20242026
most citedFoil Conductor Model for Efficient Simulation of HTS Coils in Large Scale Applications

6 citations · 9 across the 11 of their papers we have counts for

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physics.acc-ph2026

Explicit Turn Resolution with Anisotropic Homogenisation for Efficient 3D Magneto-Thermal Finite-Element Simulation of Large-Scale No-Insulation HTS Magnets

Louis Denis, Erik Schnaubelt, Julien Dular +3

No-insulation (NI) and metal-insulation (MI) high-temperature superconducting (HTS) magnets require three-dimensional (3D) models to describe the current distribution around critic…

physics.acc-ph2026

Modelling Conduction Cooling of Superconducting Accelerator Magnets using a Thermal Thin Shell Approximation

Emma Vancayseele, Erik Schnaubelt, Louis Denis +3

Understanding the thermal behaviour of superconducting accelerator magnets is essential to ensure their stable and reliable operation. This work presents an extension of the Finite…

physics.acc-ph2025

Simultaneous Multi-Scale Homogeneous H-Phi Thin-Shell Model for Efficient Simulations of Stacked HTS Coils

Louis Denis, Benoît Vanderheyden, Christophe Geuzaine

The simulation of large-scale high-temperature superconducting (HTS) magnets is a computational challenge due to the multiple spatial scales involved, from the magnet to the detail…

physics.acc-ph2025

Acceleration of Multi-Scale LTS Magnet Simulations with Neural Network Surrogate Models

Louis Denis, Julien Dular, Vincent Nuttens +3

While the prediction of AC losses during transients is critical for designing large-scale low-temperature superconducting (LTS) magnets, brute-force finite-element (FE) simulation…

physics.acc-ph2024

AC Loss Computation in Large-Scale Low-Temperature Superconducting Magnets: Multi-Scale and Semi-Analytical Procedures

Louis Denis, Vincent Nuttens, Benoît Vanderheyden +1

In this paper, we introduce two complementary approaches for the accurate prediction of AC losses in large-scale low-temperature superconducting (LTS) magnets. These methods accoun…