Elena V. Akhmatskaya

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 15

Top Topics

Monte Carlo Methods

Chemical Reactions

Stochastic Process

Relative Frequencies

Top Venues

J. Comput. Phys.

Comput. Phys. Commun.

Publications

Simone Rusconi, Christina Schenk, Arghir Zarnescu, Elena V. Akhmatskaya
Reducing model complexity by means of the Optimal Scaling: Population Balance Model for latex particles morphology formation. CoRR (2024)
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 (2024)
Simone Rusconi, Elena V. Akhmatskaya, Dmitri Sokolovski, N. Ballard, J. C. de la Cal
Relative frequencies of constrained events in stochastic processes: An analytical approach. CoRR (2024)
Simone Rusconi, Christina Schenk, Arghir Zarnescu, Elena V. Akhmatskaya
Reducing model complexity by means of the optimal scaling: Population balance model for latex particles morphology formation. Appl. Math. Comput. 443 (2023)
Lorenzo Nagar, Mario Fernández-Pendás, Jesús María Sanz-Serna, Elena V. Akhmatskaya
Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo. CoRR (2023)
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
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale. PLoS Comput. Biol. 19 (11) (2023)
Elena V. Akhmatskaya, Dmitri Sokolovski
Numerical Regge pole analysis of resonance structures in state-to-state reactive differential cross sections. Comput. Phys. Commun. 277 (2022)
Tijana Radivojevic, Elena V. Akhmatskaya
Modified Hamiltonian Monte Carlo for Bayesian inference. Stat. Comput. 30 (2) (2020)
Simone Rusconi, Denys Dutykh, Arghir Zarnescu, Dmitri Sokolovski, Elena V. Akhmatskaya
An optimal scaling to computationally tractable dimensionless models: Study of latex particles morphology formation. Comput. Phys. Commun. 247 (2020)
Simone Rusconi, Denys Dutykh, Arghir Zarnescu, Dmitri Sokolovski, Elena V. Akhmatskaya
An optimal scaling to computationally tractable dimensionless models: Study of latex particles morphology formation. CoRR (2019)
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 (2018)
Tijana Radivojevic, Mario Fernández-Pendás, Jesús María Sanz-Serna, Elena V. Akhmatskaya
Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods. J. Comput. Phys. 373 (2018)
Mario Fernández-Pendás, Elena V. Akhmatskaya, Jesús María Sanz-Serna
Adaptive multi-stage integrators for optimal energy conservation in molecular simulations. J. Comput. Phys. 327 (2016)
Mario Fernández-Pendás, Elena V. Akhmatskaya, Jesús María Sanz-Serna
Adaptive multi-stage integrators for optimal energy conservation in molecular simulations. CoRR (2015)
Bruno Escribano, Elena V. Akhmatskaya, Sebastian Reich, Jon Azpiroz
Multiple-time-stepping generalized hybrid Monte Carlo methods. J. Comput. Phys. 280 (2015)
Dmitri Sokolovski, Elena V. Akhmatskaya
Computer Software for Understanding Resonances and Resonance-Related Phenomena in Chemical Reactions. ICCSA (1) (2014)
Elena V. Akhmatskaya, Dmitri Sokolovski, C. Echeverría-Arrondo
Numerical Regge pole analysis of resonance structures in elastic, inelastic and reactive state-to-state integral cross sections. Comput. Phys. Commun. 185 (7) (2014)
Dmitri Sokolovski, Elena V. Akhmatskaya, S. K. Sen
Extracting S-matrix poles for resonances from numerical scattering data: Type-II Padé reconstruction. Comput. Phys. Commun. 182 (2) (2011)
Elena V. Akhmatskaya, Sebastian Reich
Meso-GSHMC: A stochastic algorithm for meso-scale constant temperature simulations. ICCS (2011)
Elena V. Akhmatskaya, Nawaf Bou-Rabee, Sebastian Reich
Erratum to "A comparison of generalized hybrid Monte Carlo methods with and without momentum flip" [J. Comput. Phys 228 (2009) 2256-2265]. J. Comput. Phys. 228 (19) (2009)
Elena V. Akhmatskaya, Nawaf Bou-Rabee, Sebastian Reich
A comparison of generalized hybrid Monte Carlo methods with and without momentum flip. J. Comput. Phys. 228 (6) (2009)
Elena V. Akhmatskaya, Sebastian Reich
GSHMC: An efficient method for molecular simulation. J. Comput. Phys. 227 (10) (2008)
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
Computational chemistry on Fujitsu vector-parallel processors: Development and performance of applications software. Parallel Comput. 26 (7-8) (2000)