What question did this study set out to answer?

The goal is to develop an active stabilization system that maintains plasma within dynamically controlled states to combat turbulence-driven degradation.

May 9, 2026Open Access

Adaptive AI-Laser Plasma Control for Linear Fusion Reactors Toward Predictive Turbulence Stabilization Using Femtosecond Diagnostics and Real-Time Digital Twin Architectures

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The goal is to develop an active stabilization system that maintains plasma within dynamically controlled states to combat turbulence-driven degradation.
Introduced femtosecond laser plasma diagnostics for ultrafast observation.
Employed AI-driven predictions and reduced-order generative simulation for turbulence control.
Integrated adaptive magnetic feedback and real-time digital twin architectures for closed-loop stabilization.
The proposed system aims to improve confinement by maintaining plasma in metastable states.
Potential applicability to various fusion and propulsion systems is discussed.
Future experimental pathways and physical limitations of the approach are outlined.

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Implication

This work proposes a novel active control system for stabilizing turbulence in linear fusion reactors, suggesting a new paradigm in plasma confinement.

Cite This Study

Jean-yves Lozac'h (2026) studied this question.

synapsesocial.com/papers/69fed008b9154b0b828770fd https://doi.org/10.5281/zenodo.20076264

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Implication

This work proposes a novel active control system for stabilizing turbulence in linear fusion reactors, suggesting a new paradigm in plasma confinement.

Adaptive AI-Laser Plasma Control for Linear Fusion Reactors Toward Predictive Turbulence Stabilization Using Femtosecond Diagnostics and Real-Time Digital Twin Architectures

Key Points

Discussion

Implication

Cite This Study

Adaptive AI-Laser Plasma Control for Linear Fusion Reactors Toward Predictive Turbulence Stabilization Using Femtosecond Diagnostics and Real-Time Digital Twin Architectures

Key Points

Discussion

Implication

Cite This Study