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Brief files description: | ||
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1. stat_langevin.py | ||
- stochastic dynamics for a Brownian particle. Mean value and variance are calculated. Algorithm based on the publication: "https://aip.scitation.org/doi/abs/10.1063/1.4802990" | ||
- stochastic dynamics for a Brownian particle. Mean value and variance are calculated. Algorithm based on Ref.[1]" | ||
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2. FT_langevin.py | ||
- stochastic dynamics for a Brownian particle under a harmonic potential whose center of mass is displaced with constant velocity (see work: "https://journals.aps.org/pre/abstract/10.1103/PhysRevE.67.046102"). Fluctuation Theorem for work and heat are calculated. Algorithm based on the publication: "https://aip.scitation.org/doi/abs/10.1063/1.4802990" | ||
- stochastic dynamics for a Brownian particle under a harmonic potential whose center of mass is displaced with constant velocity (see Ref.[2]). | ||
Fluctuation Theorem for work and heat are calculated. Algorithm based on Ref.[1]" | ||
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3. Generalized_FP.py | ||
- generalized Fokker-Planck (GenBM) equation (see 'gener_FP.pdf' file for further infos). Both the generalized semiclassical distriubtion (GenBM_rho) and the distribution of a standard Brownian motion (BM_rho) are obatined considering a external harmonic potential. Algorithm based on finite diference approach to compute derivatives. | ||
- generalized Fokker-Planck (GenBM) equation (see 'gener_FP.pdf' file for further infos). Both the generalized semiclassical distriubtion (GenBM_rho) | ||
and the distribution of a standard Brownian motion (BM_rho) are obatined considering a external harmonic potential. | ||
Algorithm based on finite diference approach to compute derivatives. | ||
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References: | ||
[1] https://aip.scitation.org/doi/abs/10.1063/1.4802990 | ||
[2] https://journals.aps.org/pre/abstract/10.1103/PhysRevE.67.046102 |