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On the interfacial lithium dynamics in Li7La3Zr2O12:poly(ethylene oxide) (LiTFSI) composite polymer-ceramic solid electrolytes under strong polymer phase confinement 

Rincón, M.Autoridad BCAM; García, F.Autoridad BCAM; Cortés, H.E.; Carrasco, J.; Akhmatskaya, E.Autoridad BCAM (2022-05-27)
A better molecular-level understanding of Li+ diffusion through ceramic/polymer interfaces is key to designing high-performance composite solid-state electrolytes for all-solid-state batteries. By considering as a case ...
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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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Combining stochastic and deterministic approaches within high efficiency molecular simulations 

Escribano, B.; Akhmatskaya, E.Autoridad BCAM; Mujika, J.I. (2013-12-31)
Generalized Shadow Hybrid Monte Carlo (GSHMC) is a method for molecular simulations that rigorously alternates Monte Carlo sampling from a canonical ensemble with integration of trajectories using Molecular Dynamics (MD). ...

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Author
Akhmatskaya, E. (5)
Fernández-Pendás, M. (3)Carrasco, J. (2)Escribano, B. (2)Radivojevic, T. (2)Sanz-Serna, J.M. (2)Cortés, H.E. (1)García, F. (1)Lozano, A. (1)Mujika, J.I. (1)... másSubject
Hybrid Monte Carlo (5)
Molecular dynamics (4)Adaptive integration (1)Adaptive integrators (1)Adiabatic Core-Shell model (1)Enhanced sampling (1)GROMACS (1)importance sampling (1)Interfacial lithium transport (1)modified Hamiltonians (1)... másFecha2022 (1)2017 (2)2016 (1)2013 (1)

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