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ORCIDElena V. Akhmatskaya
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Journal Articles
- 2024
[j15]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
- [j14]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: 127756 (2023) - [j13]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) - 2022
- [j12]Elena V. Akhmatskaya, Dmitri Sokolovski:
Numerical Regge pole analysis of resonance structures in state-to-state reactive differential cross sections. Comput. Phys. Commun. 277: 108370 (2022) - 2020
- [j11]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) - [j10]Tijana Radivojevic, Elena V. Akhmatskaya:
Modified Hamiltonian Monte Carlo for Bayesian inference. Stat. Comput. 30(2): 377-404 (2020) - 2018
- [j9]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: 900-916 (2018) - 2016
- [j8]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: 434-449 (2016) - 2015
- [j7]Bruno Escribano, Elena V. Akhmatskaya, Sebastian Reich, Jon Azpiroz:
Multiple-time-stepping generalized hybrid Monte Carlo methods. J. Comput. Phys. 280: 1-20 (2015) - 2014
- [j6]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): 2127-2137 (2014) - 2011
- [j5]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): 448-466 (2011) - 2009
- [j4]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): 2256-2265 (2009) - [j3]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): 7492-7496 (2009) - 2008
- [j2]Elena V. Akhmatskaya, Sebastian Reich:
GSHMC: An efficient method for molecular simulation. J. Comput. Phys. 227(10): 4934-4954 (2008) - 2000
- [j1]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): 887-911 (2000)
Conference and Workshop Papers
- 2014
- [c2]Dmitri Sokolovski, Elena V. Akhmatskaya:
Computer Software for Understanding Resonances and Resonance-Related Phenomena in Chemical Reactions. ICCSA (1) 2014: 522-537 - 2011
- [c1]Elena V. Akhmatskaya, Sebastian Reich:
Meso-GSHMC: A stochastic algorithm for meso-scale constant temperature simulations. ICCS 2011: 1353-1362
Informal and Other Publications
- 2024
- [i6]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 abs/2402.06522 (2024) - [i5]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 abs/2402.06536 (2024) - 2023
- [i4]Lorenzo Nagar, Mario Fernández-Pendás, Jesús María Sanz-Serna, Elena V. Akhmatskaya:
Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo. CoRR abs/2307.02096 (2023) - 2019
- [i3]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 abs/1910.06084 (2019) - 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) - 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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