October 28, 2024Open Access

Amoeba Monte Carlo algorithms for random trees with controlled branching activity: Efficient trial move generation and universal dynamics

PHPieter H. W. van der HoekScuola Internazionale Superiore di Studi Avanzati ARAngelo RosaScuola Internazionale Superiore di Studi Avanzati RERalf EveraersÉcole Normale Supérieure de Lyon

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Abstract

Simulating ensembles of branched macromolecules with annealed branches and statistically-controlled branching weights has been a long-standing challenge. The authors present a new algorithm for simulating random trees, advancing the computational theory of randomly branched polymers.

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Hoek et al. (Mon,) studied this question.

synapsesocial.com/papers/68e55b65e2b3180350ef90a0 https://doi.org/https://doi.org/10.1103/physreve.110.045312

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