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Mario Fernández-Pendás
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2020 – today
- 2024
- [j5]Lorenzo Nagar
, Mario Fernández-Pendás, Jesús María Sanz-Serna, Elena V. Akhmatskaya:
Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo. J. Comput. Phys. 502: 112800 (2024) - 2023
- [i3]Lorenzo Nagar
Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo. CoRR abs/2307.02096 (2023) - 2022
- [j4]Mario Fernández-Pendás
A study of the performance of classical minimizers in the Quantum Approximate Optimization Algorithm. J. Comput. Appl. Math. 404: 113388 (2022) - [j3]Abir Ganguly
AMBER Drug Discovery Boost Tools: Automated Workflow for Production Free-Energy Simulation Setup and Analysis (ProFESSA). J. Chem. Inf. Model. 62(23): 6069-6083 (2022)
2010 – 2019
- 2018
- [j2]Tijana Radivojevic
Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods. J. Comput. Phys. 373: 900-916 (2018) - [i2]Tijana Radivojevic, Mario Fernández-Pendás, Jesús María Sanz-Serna, Elena V. Akhmatskaya:
Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods. CoRR abs/1807.04131 (2018) - 2016
- [j1]Mario Fernández-Pendás, Elena V. Akhmatskaya
Adaptive multi-stage integrators for optimal energy conservation in molecular simulations. J. Comput. Phys. 327: 434-449 (2016) - 2015
- [i1]Mario Fernández-Pendás, Elena V. Akhmatskaya, Jesús María Sanz-Serna:
Adaptive multi-stage integrators for optimal energy conservation in molecular simulations. CoRR abs/1512.03335 (2015)
Coauthor Index
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