Monte Carlo (MC) methods have a long-standing history as partners of molecular dynamics (MD) to simulate the evolution of materials at the atomic scale. Among these techniques, the uniform-acceptance force-bias Monte Carlo (UFMC) method [ G. Dereli Mol. Simul. 8 351 (1992)] has recently attracted attention [ M. Timonova et al. Phys. Rev. B 81 144107 (2010)] thanks to its apparent capacity of being able to simulate physical processes in a reduced number of iterations compared to classical MD methods. The origin of this efficiency remains, however, unclear. In this work we derive a UFMC method starting from basic thermodynamic principles, which leads to an intuitive and unambiguous formalism. The approach includes a statistically relevant tim...
29 páginas, 4 figuras.-- PACS: 02.70.Uu, 05.70.-a, 33.15.Vb.It is now 50 years since the first paper...
Performance of the generalized shadow hybrid Monte Carlo (GSHMC) method [1], which proved to be supe...
The Markov chain Monte Carlo method is an important tool to estimate the average properties of syste...
Monte Carlo (MC) methods have a long-standing history as partners of molecular dynamics (MD) to simu...
The uniform-acceptance force-bias Monte Carlo (UFMC) method [G. Dereli, Mol. Simul. 8, 351 (1992)] i...
We present a technique for the structural optimization of atom models to study long time relaxation ...
A theoretical analysis of a Monte Carlo (MC) method for the simulation of the diffusion-growth of he...
PACS. 71.55.Jv – Disordered structures; amorphous and glassy solids. PACS. 61.43.Dq – Amorphous semi...
The temperature programmed molecular dynamics (TPMD) method is a recent addition to the list of rare...
We propose a hybrid deterministic and stochastic approach to achieve extended time scales in atomist...
The hybrid Monte Carlo (HMC) method is a popular and rigorous method for sampling from a canonical e...
Although Markov chain Monte Carlo (MC) simulation is a potentially powerful approach for exploring c...
The nested sampling algorithm has been shown to be a general method for calculating the pressure-tem...
Kinetics Monte Carlo approaches based on the discrete Potts model are shown to be limited for a comp...
The purpose of the present article is to compare different phase-space sampling methods, such as pu...
29 páginas, 4 figuras.-- PACS: 02.70.Uu, 05.70.-a, 33.15.Vb.It is now 50 years since the first paper...
Performance of the generalized shadow hybrid Monte Carlo (GSHMC) method [1], which proved to be supe...
The Markov chain Monte Carlo method is an important tool to estimate the average properties of syste...
Monte Carlo (MC) methods have a long-standing history as partners of molecular dynamics (MD) to simu...
The uniform-acceptance force-bias Monte Carlo (UFMC) method [G. Dereli, Mol. Simul. 8, 351 (1992)] i...
We present a technique for the structural optimization of atom models to study long time relaxation ...
A theoretical analysis of a Monte Carlo (MC) method for the simulation of the diffusion-growth of he...
PACS. 71.55.Jv – Disordered structures; amorphous and glassy solids. PACS. 61.43.Dq – Amorphous semi...
The temperature programmed molecular dynamics (TPMD) method is a recent addition to the list of rare...
We propose a hybrid deterministic and stochastic approach to achieve extended time scales in atomist...
The hybrid Monte Carlo (HMC) method is a popular and rigorous method for sampling from a canonical e...
Although Markov chain Monte Carlo (MC) simulation is a potentially powerful approach for exploring c...
The nested sampling algorithm has been shown to be a general method for calculating the pressure-tem...
Kinetics Monte Carlo approaches based on the discrete Potts model are shown to be limited for a comp...
The purpose of the present article is to compare different phase-space sampling methods, such as pu...
29 páginas, 4 figuras.-- PACS: 02.70.Uu, 05.70.-a, 33.15.Vb.It is now 50 years since the first paper...
Performance of the generalized shadow hybrid Monte Carlo (GSHMC) method [1], which proved to be supe...
The Markov chain Monte Carlo method is an important tool to estimate the average properties of syste...