Pith Number

pith:RTAXPPSZ

pith:2026:RTAXPPSZWDPL7UZUU7XJ4QGKFB

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Microscopic derivation of the interacting boson model parameters with machine learning

K. Nomura, Y. Obata

A neural network maps microscopic potential energy landscapes to interacting boson model parameters for nuclei.

arxiv:2605.15623 v1 · 2026-05-15 · nucl-th · nucl-ex

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\usepackage{pith}
\pithnumber{RTAXPPSZWDPL7UZUU7XJ4QGKFB}

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Claims

C1strongest claim

by reproducing the microscopic energy landscapes without any manual parameter tuning, the trained network is shown to provide a set of the model parameters and energy spectra that reflect the nuclear structural evolution, offering a robust alternative microscopic description of nuclear collectivity.

C2weakest assumption

The potential energy landscapes calculated within nuclear density functional theory, when combined with a global quadrupole collectivity indicator and valence nucleon numbers as inputs, contain sufficient information to determine unique interacting boson model parameters and mitigate degeneracy issues.

C3one line summary

A physics-guided neural network maps density functional theory potential energy landscapes to interacting boson model parameters for rare-earth nuclei, yielding spectra that reflect structural evolution.

References

55 extracted · 55 resolved · 0 Pith anchors

[1] A. Bohr, B. R. Mottelson, Nuclear Structure, V ol. II, Ben- jamin, New York, USA, 1975 1975

[2] P. Ring, P. Schuck, The Nuclear Many-Body Problem, Springer-Verlag, Berlin, 1980 1980

[3] P. Cejnar, J. Jolie, R. F. Casten, Quantum phase transitions in the shapes of atomic nuclei, Rev. Mod. Phys. 82 (2010) 2155–2212.doi:10.1103/RevModPhys.82.2155 2010 · doi:10.1103/revmodphys.82.2155

[4] Iachello, Quantum phase transitions in algebraic models, Revista Nuovo Cimento 34 (2011) 617 2011 · doi:10.1393/ncr/i2011-10070-7

[5] Fortunato, Quantum phase transitions in algebraic and collective models of nuclear structure, Prog 2021 · doi:10.1016/j.ppnp.2021.103891

Receipt and verification

First computed	2026-05-20T00:01:08.689250Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8cc177be59b0debfd334a7ee9e40ca2857a56a68666eed12670b94382940f7e9

Aliases

arxiv: 2605.15623 · arxiv_version: 2605.15623v1 · doi: 10.48550/arxiv.2605.15623 · pith_short_12: RTAXPPSZWDPL · pith_short_16: RTAXPPSZWDPL7UZU · pith_short_8: RTAXPPSZ

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/RTAXPPSZWDPL7UZUU7XJ4QGKFB \
  | 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: 8cc177be59b0debfd334a7ee9e40ca2857a56a68666eed12670b94382940f7e9

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2efd72b82254f6f7510dbc521591b574c10a2620dc5c01604cff7a54113e041a",
    "cross_cats_sorted": [
      "nucl-ex"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "nucl-th",
    "submitted_at": "2026-05-15T05:15:52Z",
    "title_canon_sha256": "4aa44210cbd387d253d69b8d63881caab37a3e669e7dd6f4fefa71f60f56aa9a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15623",
    "kind": "arxiv",
    "version": 1
  }
}