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@Deep-SANE

Deep‑SANE — Deep‑learning & Symmetry‑adapted, Ab‑initio Nuclear modeling: an AI‑ready Ecosystem

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Deep-SANE

Deep-learning & Symmetry-adapted, Ab-initio Nuclear modeling — an AI-ready Ecosystem.

A family of libraries for symmetry-adapted, ab-initio nuclear simulations, and deep learning for nuclear physics:

  • u3lib — an AI-ready library for U(3) symmetry algebra, Wigner coupling & Racah recoupling coefficients
  • u4lib — an AI-ready library for U(4) symmetry algebra, Wigner coupling & Racah recoupling coefficients
  • untou3 - an AI-ready library for U(N)->U(3) reduction for the nuclear shell model
  • SAM — compute structure of nuclei from first principles using U(3) and U(4) symmetries in the nuclear shell model

Popular repositories Loading

  1. Wigner-mass-public Wigner-mass-public Public

    Interpretable, symmetry-adapted neural-network models of nuclear binding energies, built on SU(4)/SU(3) Casimir features.

    Jupyter Notebook

  2. .github .github Public

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