Pith Number

pith:PHVK6XZH

pith:2026:PHVK6XZHKA7VRJZMMZI6KP6D3K

not attested not anchored not stored refs resolved

Real-time virtual circuits for plasma shape control via neural network emulators

Adriano Agnello, Alasdair Ross, Aran Garrod, Charles Vincent, George K. Holt, Graham McArdle, Kamran Pentland, Nicola C. Amorisco, Pedro Cavestany, Timothy Nunn

Neural network emulators produce accurate real-time virtual circuits to control tokamak plasma shape.

arxiv:2605.14939 v1 · 2026-05-14 · physics.plasm-ph · cs.LG

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Claims

C1strongest claim

The neural-network-based approach delivers high accuracy and orthogonality across a diverse range of equilibria. This work establishes the physical validity of emulated VCs as a scalable and general alternative to schedules of precomputed VCs.

C2weakest assumption

That neural networks trained exclusively on simulated Grad-Shafranov equilibria will generalize accurately enough to real experimental plasmas in MAST-U to produce usable virtual circuits in real time.

C3one line summary

Neural network emulators of Grad-Shafranov equilibria enable real-time derivation of virtual circuits that disentangle plasma shape control parameters in tokamaks.

References

39 extracted · 39 resolved · 1 Pith anchors

[1] M. Ariola and A. Pironti.Magnetic Control of Tokamak Plasmas. Advances in Industrial Control. Springer London, 2008 2008

[2] Walker, Peter De Vries, Federico Felici, and Eugenio Schuster 2020

[3] Design and implementation of a model-based hierarchical architecture for plasma shape control in the tcv tokamak 2025

[4] The mast upgrade plasma control system.Fusion Engineering and Design, 159:111764, 2020 2020

[5] J. T. Wai, M. D. Boyer, D. J. Battaglia, F. Carpanese, F. Felici, W. P. Wehner, A. S. Welander, and E. Kolemen. A tutorial on inversion-based shape control with design application to nstx-u, 2026 2026

Receipt and verification

First computed	2026-05-17T23:38:55.488481Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

79eaaf5f27503f58a72c6651e53fc3da80649c438f4e85444f7a4c618e82c794

Aliases

arxiv: 2605.14939 · arxiv_version: 2605.14939v1 · doi: 10.48550/arxiv.2605.14939 · pith_short_12: PHVK6XZHKA7V · pith_short_16: PHVK6XZHKA7VRJZM · pith_short_8: PHVK6XZH

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/PHVK6XZHKA7VRJZMMZI6KP6D3K \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 79eaaf5f27503f58a72c6651e53fc3da80649c438f4e85444f7a4c618e82c794

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "53d1ba0539fb3d597ebe1b19eb303710f924b61179d4b051b1f1cb9f592fda59",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "physics.plasm-ph",
    "submitted_at": "2026-05-14T15:15:43Z",
    "title_canon_sha256": "5122b079d8ea747a823275a01f9c3649e2a81ab5c1be1925752eb71d879aa084"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14939",
    "kind": "arxiv",
    "version": 1
  }
}