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A note on the minimal pairwise distance in optimal Lennard-Jones N-body clusters

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  • Additional Information
    • Publication Information:
      Taylor & Francis
      Yusuf Hamied Department of Chemistry
      //doi.org/10.1080/00268976.2025.2590148
    • Publication Date:
      2025
    • Collection:
      Apollo - University of Cambridge Repository
    • Abstract:
      Good a-priori bounds on the smallest pairwise distance rmin(LJNgmin) for a three-dimensional (3D) Lennard-Jones N-body cluster of globally minimal energy can significantly reduce the computational search space in the NP-hard problem to find this configuration. In this contribution the virial theorem is exploited for this purpose. We prove that if a configuration C(N) is a member of LJNequ (the stationary points), then rmin(C(N))≤rmin(LJ2gmin). It is also shown that if C(N)∈ LJNgmin⊂ LJNequ, equality holds if and only if N∈{2,3,4}. We conjecture that rmin(LJNgmin)>1 in units for which rmin(LJ2gmin)=216≈1.122462048. This conjectured lower bound, if correct, would improve the best lower bound currently known, rmin(LJNgmin)≥0.767764, by about 25%. In these units the smallest minimal pair distance found through numerical searches for LJNgmin with N≤1000 is rmin(LJ923gmin)≈1.01361, so the conjectured lower bound would presumably be close to optimal. From the virial theorem we obtain an identity for any C(N)∈LJNequ, which expresses rmin(C(N)) in terms of the distribution of relative distances in C(N). This result reveals interesting connections with the Erdős distance, and related problems.
    • File Description:
      application/pdf
    • Relation:
      https://www.repository.cam.ac.uk/handle/1810/392567; https://doi.org/10.17863/CAM.123236
    • Accession Number:
      10.17863/CAM.123236
    • Online Access:
      https://www.repository.cam.ac.uk/handle/1810/392567
      https://doi.org/10.17863/CAM.123236
    • Rights:
      Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/
    • Accession Number:
      edsbas.B2D5E35D