Elena V. Akhmatskaya

According to our database, Elena V. Akhmatskaya authored at least 18 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Relative frequencies of constrained events in stochastic processes: An analytical approach.

Simone Rusconi, Elena V. Akhmatskaya, Dmitri Sokolovski, N. Ballard, J. C. de la Cal

CoRR, 2024

2023

BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale.

Tyler W. H. Backman, Christina Schenk, Tijana Radivojevic, David Ando, Jahnavi Singh, Jeffrey J. Czajka, Zak Costello, Jay D. Keasling, Yinjie Tang, Elena V. Akhmatskaya, Héctor García Martín

PLoS Comput. Biol., November, 2023

Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo.

Lorenzo Nagar, Mario Fernández-Pendás, Jesús María Sanz-Serna, Elena V. Akhmatskaya

CoRR, 2023

Reducing model complexity by means of the optimal scaling: Population balance model for latex particles morphology formation.

Simone Rusconi, Christina Schenk, Arghir Zarnescu, Elena V. Akhmatskaya

Appl. Math. Comput., 2023

2022

Numerical Regge pole analysis of resonance structures in state-to-state reactive differential cross sections.

Elena V. Akhmatskaya, Dmitri Sokolovski

Comput. Phys. Commun., 2022

2020

Modified Hamiltonian Monte Carlo for Bayesian inference.

Tijana Radivojevic, Elena V. Akhmatskaya

Stat. Comput., 2020

An optimal scaling to computationally tractable dimensionless models: Study of latex particles morphology formation.

Simone Rusconi, Denys Dutykh, Arghir Zarnescu, Dmitri Sokolovski, Elena V. Akhmatskaya

Comput. Phys. Commun., 2020

2018

Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods.

Tijana Radivojevic, Mario Fernández-Pendás, Jesús María Sanz-Serna, Elena V. Akhmatskaya

J. Comput. Phys., 2018

2016

Adaptive multi-stage integrators for optimal energy conservation in molecular simulations.

Mario Fernández-Pendás, Elena V. Akhmatskaya, Jesús María Sanz-Serna

J. Comput. Phys., 2016

2015

Multiple-time-stepping generalized hybrid Monte Carlo methods.

Bruno Escribano, Elena V. Akhmatskaya, Sebastian Reich, Jon Azpiroz

J. Comput. Phys., 2015

2014

Numerical Regge pole analysis of resonance structures in elastic, inelastic and reactive state-to-state integral cross sections.

Elena V. Akhmatskaya, Dmitri Sokolovski, C. Echeverría-Arrondo

Comput. Phys. Commun., 2014

Computer Software for Understanding Resonances and Resonance-Related Phenomena in Chemical Reactions.

Dmitri Sokolovski, Elena V. Akhmatskaya

Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

2011

Meso-GSHMC: A stochastic algorithm for meso-scale constant temperature simulations.

Elena V. Akhmatskaya, Sebastian Reich

Proceedings of the International Conference on Computational Science, 2011

Extracting S-matrix poles for resonances from numerical scattering data: Type-II Padé reconstruction.

Dmitri Sokolovski, Elena V. Akhmatskaya, S. K. Sen

Comput. Phys. Commun., 2011

2009

Erratum to "A comparison of generalized hybrid Monte Carlo methods with and without momentum flip" [J. Comput. Phys 228 (2009) 2256-2265].

Elena V. Akhmatskaya, Nawaf Bou-Rabee, Sebastian Reich

J. Comput. Phys., 2009

A comparison of generalized hybrid Monte Carlo methods with and without momentum flip.

Elena V. Akhmatskaya, Nawaf Bou-Rabee, Sebastian Reich

J. Comput. Phys., 2009

2008

GSHMC: An efficient method for molecular simulation.

Elena V. Akhmatskaya, Sebastian Reich

J. Comput. Phys., 2008

2000

Computational chemistry on Fujitsu vector-parallel processors: Development and performance of applications software.

Alistair P. Rendell, Andrey A. Bliznyuk, Thomas Huber, Ross H. Nobes, Elena V. Akhmatskaya, Herbert A. Früchtl, Paul W.-C. Kung, Victor Milman, Han Lung

Parallel Comput., 2000