Abstract
In the present work a dynamical system is investigated, in which the particles’ mass depends on their position in space. The first case study is that of a single point-like particle in one dimension, whose Hamiltonian is numerically integrated with a first-order, energy-conserving algorithm; subsequently, the model is extended to a Lennard-Jones fluid in three dimensions. The features of both setups are examined, and a simple, exact method is devised to obtain, from a system of particles with position-dependent mass, the same equilibrium observables that would be measured in a conventional simulation. The properties of these dynamical systems are explored, with possible applications in the development of efficient sampling strategies.
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Potestio, R. Computer simulation of particles with position-dependent mass. Eur. Phys. J. B 87, 245 (2014). https://doi.org/10.1140/epjb/e2014-50314-y
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DOI: https://doi.org/10.1140/epjb/e2014-50314-y