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Adaptive Splitting Integrators for Enhancing Sampling Efficiency of Modified Hamiltonian Monte Carlo Methods in Molecular Simulation 

Akhmatskaya, E.Autoridad BCAM; Fernández-Pendás, M.; Radivojevic, T.; Sanz-Serna, J.M. (2017-10-24)
The modified Hamiltonian Monte Carlo (MHMC) methods, i.e., importance sampling methods that use modified Hamiltonians within a Hybrid Monte Carlo (HMC) framework, often outperform in sampling efficiency standard techniques ...
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Enhancing sampling in atomistic simulations of solid state materials for batteries: a focus on olivine NaFePO$_4$ 

Escribano, B.; Lozano, A.; Radivojevic, T.; Fernández-Pendás, M.; Carrasco, J.; Akhmatskaya, E.Autoridad BCAM (2017-03-07)
The study of ion transport in electrochemically active materials for energy storage systems requires simulations on quantum-, atomistic- and meso-scales. The methods accessing these scales not only have to be effective but ...
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Adaptive multi-stage integrators for optimal energy conservation in molecular simulations 

Fernández-Pendás, M.; Akhmatskaya, E.Autoridad BCAM; Sanz-Serna, J.M. (2016-10-01)
We introduce a new Adaptive Integration Approach (AIA) to be used in a wide range of molecular simulations. Given a simulation problem and a step size, the method automatically chooses the optimal scheme out of an available ...

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Author
Akhmatskaya, E. (3)
Fernández-Pendás, M. (3)
Radivojevic, T. (2)Sanz-Serna, J.M. (2)Carrasco, J. (1)Escribano, B. (1)Lozano, A. (1)Subject
Hybrid Monte Carlo (3)
Molecular dynamics (2)Adaptive integration (1)Adaptive integrators (1)Adiabatic Core-Shell model (1)Enhanced sampling (1)GROMACS (1)importance sampling (1)modified Hamiltonians (1)molecular dynamics (1)... másFecha2017 (2)2016 (1)

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