Dielectric relaxation time in granular graphite scales with estimated granular temperature and entropy following an Adam-Gibbs-like relation as packing fraction varies.
Nature 410, 259–267 (2001)
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Systematic benchmarking finds Grønbech-Jensen-Farago Langevin thermostat most consistent for temperature and energy sampling in binary LJ glass simulations, at roughly double the cost and with friction-dependent diffusion.
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Tracking Coupled Granular Temperature and Entropy Dynamics in Granular Materials via Dielectric Spectroscopy
Dielectric relaxation time in granular graphite scales with estimated granular temperature and entropy following an Adam-Gibbs-like relation as packing fraction varies.
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Benchmarking thermostat algorithms in molecular dynamics simulations of a binary Lennard-Jones glass-former model
Systematic benchmarking finds Grønbech-Jensen-Farago Langevin thermostat most consistent for temperature and energy sampling in binary LJ glass simulations, at roughly double the cost and with friction-dependent diffusion.