Atom core forces

Classical Nuclear Model vs RQM Mapping

๐Ÿงฉ Classical Nuclear Model โ€” Governing Forces

In the classical picture, nuclear behavior is described by a set of competing energy contributions that are jointly minimized.

1) Strong Nuclear Interaction (Residual)

  • Short-range (~1โ€“2 fm), saturating
  • Binds nucleons locally
  • Contributes:
    • Volume energy
    • Surface energy

2) Pauli / Fermi Pressure

  • Arises from the Pauli exclusion principle
  • Forces nucleons into higher-energy orbitals when states are filled
  • Contributes:
    • Kinetic (Fermi) energy

3) Symmetry Energy (Isospin Term)

  • Penalizes imbalance between neutrons and protons
  • Drives the system toward $N \approx Z$ locally

4) Coulomb Interaction (Electrostatic)

  • Long-range, acts only between protons
  • Scales approximately as:

$$ \sim \frac{Z^2}{R} $$

  • Drives:
    • Expansion
    • Deformation
    • Fission tendency

5) Pairing Energy

  • Energy gain for paired nucleons (spin coupling)
  • Explains oddโ€“even stability effects

6) Shell Structure

  • Discrete quantum levels (magic numbers)
  • Stabilizes specific configurations:
    • spherical or deformed

โš–๏ธ Compact Classical Energy Formula

$$ E_{\text{classical}} \approx -a_v A

  • a_s A^{2/3}
  • a_c \frac{Z(Z-1)}{A^{1/3}}
  • a_{\text{sym}} \frac{(N-Z)^2}{A}
  • \delta_{\text{pair}}
  • E_{\text{shell}} $$

โ†’ Nuclear behavior = minimization of total energy


๐Ÿง  RQM Perspective โ€” Same Physics, Different Language

In RQM, the nucleus is described as a discrete, rotationally coupled network:

  • Nodes = Rotons / clusters
  • Edges = resonant couplings
  • Energy = geometry + phase relations

๐Ÿ”ง RQM Energy Contributions

1) Resonance Coupling Energy

  • Depends on phase alignment / rotational coherence
  • Rewards synchronized states

$$ E_{\text{res}} \sim - \sum_{(i,j)} w_{ij}, \cos(\Delta \phi_{ij}) $$

Corresponds to:

  • Strong interaction
  • Shell coherence

2) Geometric Frustration

  • Deviation from ideal edge length or angle
  • Directly measurable in your model

$$ E_{\text{geom}} \sim \sum_{(i,j)} (L_{ij} - L_0)^2 $$

Corresponds to:

  • Surface energy
  • Deformation
  • Part of Coulomb compensation

3) Density / Occupation Pressure (Pauli Analog)

  • Overcrowding increases energy

$$ E_{\text{dens}} \sim \sum_i f(n_i) $$

Corresponds to:

  • Pauli exclusion
  • Fermi pressure

4) Isospin / Asymmetry Term

$$ E_{\text{iso}} \sim (N - Z)^2 $$

Corresponds to:

  • Symmetry energy

5) Long-Range Tension Term (Coulomb Analog)

$$ E_{\text{long}} \sim \sum_{i<j} \frac{q_i q_j}{r_{ij}} $$

Interpretation:

  • Global energy contribution
  • Favors expanded configurations
  • Acts as large-scale tension field

๐Ÿงฎ Total RQM Energy

$$ E_{\text{RQM}} = E_{\text{res}}

  • E_{\text{geom}}
  • E_{\text{dens}}
  • E_{\text{iso}}
  • E_{\text{long}} $$

โ†’ Structure emerges from minimization


๐Ÿ” Direct Mapping (Classical โ†” RQM)

Classical Term RQM Equivalent Formula contribution
Strong interaction Resonance coupling distance keeping - phase alignment
Surface energy Geometric frustration angular and edge length deviations
Pauli pressure Density pressure resonance saturation of energy density
Symmetry energy Axial symmetry term orbital electron interaction decoupling
Coulomb (Long-range tension) - no core contribution, only residual -
Shell structure Shell and Resonance modes alpha clustering contributions
Pairing Phase synchronization alpha cluster and symmetry

โšก Core Insight

Classical: โ†’ continuous energy functional

RQM: โ†’ discrete frustrated network

Both express:

Stability = balance of local coherence and global tension


๐Ÿงฉ Key Advantage of RQM

RQM makes something explicit that is hidden in classical models:

โ†’ spatial localization of energy

  • specific edge types carry energy
  • frustration acts as measurable energy proxy

This transforms:

global energy terms โ†’ spatially resolved structure


๐Ÿš€ Outlook

Possible continuation:

  • map frustration โ†’ effective energy per edge
  • compute total binding energy from geometry
  • compare against isotope data

Bridge:

Geometry โ†’ Energy โ†’ Stability โ†’ Nuclear Landscape


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