Monte Carlo sampling of self-avoiding theta-graphs on lattices yields estimates of critical exponents for enumeration and arm lengths, plus evidence supporting a 2D monodisperse conjecture.
A new approach to Monte Carlo simulations in statistical physics: Wang-Landau sampling
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Random sampling of self-avoiding theta-graphs
Monte Carlo sampling of self-avoiding theta-graphs on lattices yields estimates of critical exponents for enumeration and arm lengths, plus evidence supporting a 2D monodisperse conjecture.