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Priyanca Ford

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#reinforcement learning Open access Sep 2026

KODEX — KDRIVE: RL-control

KODEX — KDRIVE (RL-control). reinforcement-learning controller — a feedback policy learned by the cross-entropy method in the twin plant loop; clamped by KGATEBenchmark: RL policy (cross-entropy): tracking **0.0551** vs naive 0.1225, twin-in-the-loopPart of KODEX, the Kronos Family of Codes — a benchmarked AI/ML fusion...

Priyanca Ford · 0 citations
#reinforcement learning Open access Sep 2026

KODEX — KDRIVE: RL-control

KODEX — KDRIVE (RL-control). reinforcement-learning controller — a feedback policy learned by the cross-entropy method in the twin plant loop; clamped by KGATE Benchmark: RL policy (cross-entropy): tracking **0.0551** vs naive 0.1225, twin-in-the-loop Part of KODEX, the Kronos Family of Codes — a benchmarked AI/ML fusi...

Priyanca Ford · 0 citations
#reinforcement learning Open access Sep 2026

KODEX — KDRIVE: RL-control

KODEX — KDRIVE (RL-control). reinforcement-learning controller — a feedback policy learned by the cross-entropy method in the twin plant loop; clamped by KGATE Benchmark: RL policy (cross-entropy): tracking **0.0551** vs naive 0.1225, twin-in-the-loop Part of KODEX, the Kronos Family of Codes — a benchmarked AI/ML fusi...

Priyanca Ford · 0 citations
#reinforcement learning Open access Sep 2026

KODEX — KDRIVE: RL-control

KODEX — KDRIVE (RL-control). reinforcement-learning controller — a feedback policy learned by the cross-entropy method in the twin plant loop; clamped by KGATEBenchmark: RL policy (cross-entropy): tracking **0.0551** vs naive 0.1225, twin-in-the-loopPart of KODEX, the Kronos Family of Codes — a benchmarked AI/ML fusion...

Priyanca Ford · 0 citations
#generative ai Open access Sep 2026

KODEX — KGEN: generative

KODEX — KGEN (generative). generative surrogate — a PCA/latent model that samples plausible equilibrium flux fields; diffusion is the roadmap upgrade Benchmark: generative (PCA latent, dim 8); samples plausible equilibrium fields (diffusion = roadmap) Part of KODEX, the Kronos Family of Codes — a benchmarked AI/ML fusi...

Priyanca Ford · 0 citations
#diffusion models Open access Sep 2026

RF Alpha-Channeling in a D–³He Tandem-Mirror Burner: Raising the Recoverable Charged-Particle Fraction from 8% Toward 80%

In a deuterium–helium-3 (D–^3He) tandem-mirror burner the fusion-born 14.68 MeV proton and 3.67 MeV alpha carry the overwhelming majority of the released power as fast, mirror-trapped ions. Left to thermalise, that energy is shared between electron drag and a broadly heated ion background whose confined, usefully recov...

Priyanca Ford, P I Ford, G L Kulcinski · 0 citations
#diffusion models Open access Sep 2026

RF Alpha-Channeling in a D–³He Tandem-Mirror Burner: Raising the Recoverable Charged-Particle Fraction from 8% Toward 80%

In a deuterium–helium-3 (D–^3He) tandem-mirror burner the fusion-born 14.68 MeV proton and 3.67 MeV alpha carry the overwhelming majority of the released power as fast, mirror-trapped ions. Left to thermalise, that energy is shared between electron drag and a broadly heated ion background whose confined, usefully recov...

Priyanca Ford, P I Ford, G L Kulcinski · 0 citations
#graph neural networks Open access Sep 2026

The Plasma Diagnostic Suite and Real-Time State Estimation for a Compact Spherical-Tokamak Breeder: Magnetics, Thomson, Interferometry, and Bolometry Fused by a Graph-Neural-Network Reconstructor

An autonomous controller can act only on the state it can see, and in a compact spherical tokamak the state must be produced faster than the plant evolves, from a diagnostic set that survives a 14 neutron field and keeps working when individual channels drop out. We formalise the Hyperion breeder diagnostic suite — mag...

Priyanca Ford, P I Ford · 0 citations
#graph neural networks Open access Sep 2026

The Plasma Diagnostic Suite and Real-Time State Estimation for a Compact Spherical-Tokamak Breeder: Magnetics, Thomson, Interferometry, and Bolometry Fused by a Graph-Neural-Network Reconstructor

An autonomous controller can act only on the state it can see, and in a compact spherical tokamak the state must be produced faster than the plant evolves, from a diagnostic set that survives a 14 neutron field and keeps working when individual channels drop out. We formalise the Hyperion breeder diagnostic suite — mag...

Priyanca Ford, P I Ford · 0 citations

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