pith:Z7RBPEBC
A multigrid and neural network approach to reduce the computational cost of phi-FEM
A multigrid approach combined with neural networks reduces the computational cost of phi-FEM while preserving accuracy.
arxiv:2605.13718 v1 · 2026-05-13 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z7RBPEBC52JAD2JYMOJVTYRVRV}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
A combination of a multigrid approach and the phi-FEM immersed boundary finite element method reduces its computational cost while preserving its accuracy; further reduction is achieved by combining the previous technique with neural network methods, illustrated with numerical test cases in 2D and 3D.
That the neural-network components can be trained or applied in a way that does not introduce new errors or require problem-specific retraining that offsets the reported speed gains.
Multigrid plus neural-network acceleration reduces the cost of phi-FEM while preserving accuracy in 2D and 3D test cases.
References
Receipt and verification
| First computed | 2026-05-18T02:44:16.682840Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cfe2179022ee9201e938639359e2358d5c82dd3900ac993dcfd5731c6db3c2e0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z7RBPEBC52JAD2JYMOJVTYRVRV \
| 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: cfe2179022ee9201e938639359e2358d5c82dd3900ac993dcfd5731c6db3c2e0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "050f7df6a02f86c4c6f7f25d4e4322a1ed973b50171be021acd19071d5fbd775",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.NA",
"submitted_at": "2026-05-13T16:03:14Z",
"title_canon_sha256": "440f4851a62fa7d6b2209c28bb31567759bd6f37c27f8ef849a7def3a6a87a9f"
},
"schema_version": "1.0",
"source": {
"id": "2605.13718",
"kind": "arxiv",
"version": 1
}
}