Author

Valentin Duruisseaux

NVIDIA

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Open access Sep 2026

AI-Accelerated Gyrokinetic Predictions of Turbulent Transport for Stellarator Design Optimization and Experimental Planning

Previous work built AI-based surrogates for a nonlinear gyrokinetic simulation code with the goal of using them for fast, direct calculations of turbulent ion heat flux in stellarator design optimizations and scenario planning for experiments. These AI surrogates were trained on data from \textgreater{}200k nonlinear...

R. Churchill, M. Landreman, Jong Youl Choi et al. · Plasma Physics and Controlle... · 0 citations

#artificial intelligence Preprint Sep 2026

Counterfactual Predictions in Scientific Emulators Without Controlled Experiments

Many scientific questions require reasoning about what was never observed: What if the conditions, interventions, or history had been different? Models can predict accurately on observed data yet fail on such what-if queries when correlated inputs are varied independently. A common remedy is to add controlled simulatio...

Ding-Ling Yao, Kahaan Gandhi, Valentin Duruisseaux et al. · 0 citations

Preprint Aug 2026

Inverse Design of Quantum Control Sequences with Fourier Neural Operators

The results show that operator-learning surrogates can enable inverse design in quantum systems whose Hilbert spaces are too large for conventional direct optimization and enable inverse design in quantum systems whose Hilbert spaces are too large for conventional direct optimization.

A. Pipi, Valentin Duruisseaux, Emily M. Been et al. · 0 citations