Pith Number

pith:LYOY4KQK

pith:2026:LYOY4KQKG4UW4O42WKZFOEGSWI

not attested not anchored not stored refs pending

Multi-scale Dynamic Wake Modeling and Prediction of Floating Offshore Wind Turbines via Physics-Informed Neural Networks and Fourier Neural Operators

Chang Xu, Guodan Dong, Jianhua Qin

Fourier neural operators reconstruct multi-scale turbulent wakes of floating offshore wind turbines more accurately and faster than physics-informed neural networks.

arxiv:2604.23937 v2 · 2026-04-27 · physics.flu-dyn · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{LYOY4KQKG4UW4O42WKZFOEGSWI}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

FNO effectively resolves both large- and small-scale coherent turbulent structures with significantly higher fidelity... FNO achieves a training speed approximately eight times faster than PINN... PINN effectively acts as a spatiotemporal low-pass filter.

C2weakest assumption

The CFD-generated training and test data accurately represent real-world FOWT wake physics across the full range of Strouhal numbers and motion amplitudes encountered in operation.

C3one line summary

FNO captures large- and small-scale wake structures, higher harmonics, and temporal variations more accurately and trains eight times faster than PINN for FOWT wake prediction.

Receipt and verification

First computed	2026-05-21T01:05:19.453932Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5e1d8e2a0a37296e3b9ab2b25710d2b22cc37dd79a5a52125e3613db6f0d6987

Aliases

arxiv: 2604.23937 · arxiv_version: 2604.23937v2 · doi: 10.48550/arxiv.2604.23937 · pith_short_12: LYOY4KQKG4UW · pith_short_16: LYOY4KQKG4UW4O42 · pith_short_8: LYOY4KQK

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/LYOY4KQKG4UW4O42WKZFOEGSWI \
  | 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: 5e1d8e2a0a37296e3b9ab2b25710d2b22cc37dd79a5a52125e3613db6f0d6987

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d8275bb52af3499a06241f537115a2c9075d747b8c5bb910b5b8f0c099aa0915",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "physics.flu-dyn",
    "submitted_at": "2026-04-27T01:21:05Z",
    "title_canon_sha256": "3b1c84db0b01e6d6fb2201ccf2256e99a61be05fe25ccf5d7cb4c5bef8628217"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.23937",
    "kind": "arxiv",
    "version": 2
  }
}