Pith Number

pith:YJRRTWMK

pith:2026:YJRRTWMKSSOZKKHRZZA5EOPDAH

not attested not anchored not stored refs resolved

Bounce or coalescence : a physical learning frame

J. H. Xu, Z. L. Wang

Machine learning decides droplet contact to unify coalescence and bouncing in one simulation framework.

arxiv:2605.15844 v1 · 2026-05-15 · physics.flu-dyn

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\usepackage{pith}
\pithnumber{YJRRTWMKSSOZKKHRZZA5EOPDAH}

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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

Simulations of droplet-droplet collisions and droplet impact on a liquid surface show that the proposed framework reproduces both coalescence and bouncing over different impact conditions and captures the complete sequence of bouncing followed by subsequent coalescence within a single simulation.

C2weakest assumption

The physics-guided machine-learning model can accurately classify coalescence versus bouncing from local interface data without direct resolution of the ultrathin gas film or dependence on empirical molecular-force parameters.

C3one line summary

A unified VOF-based framework uses physics-guided machine learning to switch between coalescence and bouncing by fusing or regenerating multiple interface fields, reproducing experimental outcomes for droplet collisions and impacts.

References

41 extracted · 41 resolved · 0 Pith anchors

[1] Sirignano, William A. , title =. 1999 , doi = 1999

[2] and McDonell, Vincent G 2017

[3] Annual Review of Fluid Mechanics , volume = 2022

[4] and Snoeijer, Jacco H 2025

[5] Ashgriz, N. and Poo, J. Y. , title =. Journal of Fluid Mechanics , volume =. 1990 , doi = 1990

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:01:21.444557Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c26319d98a949d9528f1ce41d239e301e86344ca6800d8196ac2fd74efc8fc53

Aliases

arxiv: 2605.15844 · arxiv_version: 2605.15844v1 · doi: 10.48550/arxiv.2605.15844 · pith_short_12: YJRRTWMKSSOZ · pith_short_16: YJRRTWMKSSOZKKHR · pith_short_8: YJRRTWMK

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/YJRRTWMKSSOZKKHRZZA5EOPDAH \
  | 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: c26319d98a949d9528f1ce41d239e301e86344ca6800d8196ac2fd74efc8fc53

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fc31bccf0d2609a4c1f57de02779431b235e57716b52aa1284ccdd28fbf4b2e5",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "physics.flu-dyn",
    "submitted_at": "2026-05-15T10:56:39Z",
    "title_canon_sha256": "52102427f5e3f109f80384bbcd1a80aa48525a2016095dc660bd4d9afc714cf0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15844",
    "kind": "arxiv",
    "version": 1
  }
}