Pith Number

pith:JQQQ5HJK

pith:2026:JQQQ5HJKCKWH3RVRLE5WFCWRN4

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Physics-Aware Machine-Learning-Driven Inverse Design of Broadband Ultra-Open Acoustic Metamaterials

Ao Chen, Mengyu Li, Thomas G. Bifano, Xiaohang Xie, Xin Zhang, Zhiwei Yang

A physics-aware machine learning framework designs ultra-open acoustic silencers achieving over 830 Hz broadband bandwidth with 80 percent ventilation in ultra-thin profiles.

arxiv:2605.16031 v1 · 2026-05-15 · physics.app-ph

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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

Results confirm a broadband bandwidth exceeding 830 Hz achieved with an ultra-thin profile (0.1-0.2λ) and 80% ventilation using the proposed UAS designs and parallel-composite architecture.

C2weakest assumption

The Green's function-based parameterization physically decouples the design space into spectral and radial parameters, ensuring physical interpretability while reducing complexity (abstract, paragraph on framework).

C3one line summary

Physics-aware ML inverse design framework for ultra-open acoustic silencers that experimentally achieves over 830 Hz broadband attenuation with 80% ventilation in 0.1-0.2 wavelength thick monolithic and composite prototypes.

References

58 extracted · 58 resolved · 0 Pith anchors

[1] Noise pollution 2019

[2] Thompson, R., Smith, R. B., Karim, Y. B., Shen, C., Drummond, K., Teng, C. & Toledano, M. B. Noise pollution and human cognition: An updated systematic review and meta- analysis of recent evidence. En 2022

[3] & Wang, Y.- S 2025

[4] Ma, G. & Sheng, P. Acoustic metamaterials: From local resonances to broad horizons. Science Advances 2(2), e1501595 (2016) 2016

[5] Cummer, S. A., Christensen, J. & Alù, A. Controlling sound with acoustic metamaterials. Nature Reviews Materials 1(3), 1–13 (2016) 2016

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:01:49.997590Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4c210e9d2a12ac7dc6b1593b628ad16f13231f2d1d670dc59996b991d9074f1f

Aliases

arxiv: 2605.16031 · arxiv_version: 2605.16031v1 · doi: 10.48550/arxiv.2605.16031 · pith_short_12: JQQQ5HJKCKWH · pith_short_16: JQQQ5HJKCKWH3RVR · pith_short_8: JQQQ5HJK

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/JQQQ5HJKCKWH3RVRLE5WFCWRN4 \
  | 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: 4c210e9d2a12ac7dc6b1593b628ad16f13231f2d1d670dc59996b991d9074f1f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "02b7a22b8e28c194d6a7a4d2c23eb6a9c922f9a3834a350afd7a657ca9e3ada8",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "physics.app-ph",
    "submitted_at": "2026-05-15T15:06:06Z",
    "title_canon_sha256": "1a5eb868301925f36e854be9876028cef0a99dca5bf95431bc9c0cd14fcbcae8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.16031",
    "kind": "arxiv",
    "version": 1
  }
}