Mario Fernández-Pendás
Mario Fernández-Pendás
Postdoc Fellow, Donostia International Physics Center (DIPC)
Verified email at
Cited by
Cited by
Adaptive multi-stage integrators for optimal energy conservation in molecular simulations
M Fernández-Pendás, E Akhmatskaya, JM Sanz-Serna
Journal of Computational Physics 327, 434-449, 2016
Adaptive splitting integrators for enhancing sampling efficiency of modified Hamiltonian Monte Carlo methods in molecular simulation
E Akhmatskaya, M Fernández-Pendás, T Radivojević, JM Sanz-Serna
Langmuir 33 (42), 11530-11542, 2017
Constant pressure hybrid Monte Carlo simulations in GROMACS
M Fernández-Pendás, B Escribano, T Radivojević, E Akhmatskaya
Journal of molecular modeling 20 (12), 1-10, 2014
Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods
T Radivojević, M Fernández-Pendás, JM Sanz-Serna, E Akhmatskaya
Journal of Computational Physics 373, 900-916, 2018
Enhancing sampling in atomistic simulations of solid-state materials for batteries: a focus on olivine
B Escribano, A Lozano, T Radivojević, M Fernández-Pendás, J Carrasco, ...
Theoretical Chemistry Accounts 136 (4), 43, 2017
An arithmetic Poisson formula for the multi-variate resultant
M Fernández, LM Pardo
Journal of Complexity 29 (5), 323-350, 2013
A study of the performance of classical minimizers in the Quantum Approximate Optimization Algorithm
M Fernández-Pendás, EF Combarro, S Vallecorsa, J Ranilla, IF Rúa
Journal of Computational and Applied Mathematics, 113388, 2021
Synthesis of monodisperse spherical nanocrystals
R Bacsa, W Bacsa, MC Schwarzwälder, V Cregan, M Fernández-Pendás, ...
ESGI report, Centre de Recerca Matematica, Barcelona, 2016
Synthesis of Monodisperse Spherical Nanocrystals
TG Myers, V Cregan, R Bacsa, MC Schwarzwälder, M Fernández-Pendás, ...
Multiscale Modelling and Simulation of Advanced Battery Materials
MR Bonilla, FAG Daza, M Fernández-Pendás, J Carrasco, ...
Progress in Industrial Mathematics: Success Stories: The Industry and the …, 2021
Adapting Hybrid Monte Carlo methods for solving complex problems in Life and Materials sciences
M Fernández-Pendás
Some metric aspects in algebraic geometry, on the average
M Fernández Pendás
The system can't perform the operation now. Try again later.
Articles 1–12