Follow
Sergey Litvinov
Sergey Litvinov
Chair of Computational Science ETH Zurich
Verified email at ethz.ch
Title
Cited by
Cited by
Year
Multiscale modeling of particle in suspension with smoothed dissipative particle dynamics
X Bian, S Litvinov, R Qian, M Ellero, NA Adams
Physics of Fluids 24 (1), 2012
1272012
A versatile and membrane-less electrochemical reactor for the electrolysis of water and brine
SMH Hashemi, P Karnakov, P Hadikhani, E Chinello, S Litvinov, C Moser, ...
Energy & Environmental Science 12 (5), 1592-1604, 2019
1242019
Smoothed dissipative particle dynamics model for polymer molecules in suspension
S Litvinov, M Ellero, X Hu, NA Adams
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 77 (6 …, 2008
742008
Hydrodynamic shear thickening of particulate suspension under confinement
X Bian, S Litvinov, M Ellero, NJ Wagner
Journal of Non-Newtonian Fluid Mechanics 213, 39-49, 2014
672014
Towards consistence and convergence of conservative SPH approximations
S Litvinov, XY Hu, NA Adams
Journal of Computational Physics 301, 394-401, 2015
632015
Consistent approach to adsorption thermodynamics on heterogeneous surfaces using different empirical energy distribution models
X Xia, S Litvinov, M Muhler
Langmuir 22 (19), 8063-8070, 2006
582006
A splitting scheme for highly dissipative smoothed particle dynamics
S Litvinov, M Ellero, XY Hu, NA Adams
Journal of Computational Physics 229 (15), 5457-5464, 2010
512010
Self-diffusion coefficient in smoothed dissipative particle dynamics
S Litvinov, M Ellero, X Hu, NA Adams
The Journal of chemical physics 130 (2), 2009
492009
Bending models of lipid bilayer membranes: Spontaneous curvature and area-difference elasticity
X Bian, S Litvinov, P Koumoutsakos
Computer Methods in Applied Mechanics and Engineering 359, 112758, 2020
452020
A hybrid particle volume-of-fluid method for curvature estimation in multiphase flows
P Karnakov, S Litvinov, P Koumoutsakos
International Journal of Multiphase Flow 125, 103209, 2020
412020
Influence of re-adsorption and surface heterogeneity on the microkinetic analysis of temperature-programmed desorption experiments
X Xia, J Strunk, S Litvinov, M Muhler
The Journal of Physical Chemistry C 111 (16), 6000-6008, 2007
262007
Simulation of individual polymer chains and polymer solutions with smoothed dissipative particle dynamics
S Litvinov, Q Xie, X Hu, N Adams, M Ellero
Fluids 1 (1), 7, 2016
252016
Numerical simulation of tethered DNA in shear flow
S Litvinov, XY Hu, NA Adams
Journal of Physics: Condensed Matter 23 (18), 184118, 2011
242011
Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools
P Karnakov, S Litvinov, P Koumoutsakos
arXiv preprint arXiv:2205.04611, 2022
232022
A novel partitioning method for block-structured adaptive meshes
L Fu, S Litvinov, XY Hu, NA Adams
Journal of Computational Physics 341, 447-473, 2017
212017
Computing foaming flows across scales: From breaking waves to microfluidics
P Karnakov, S Litvinov, P Koumoutsakos
Science Advances 8 (5), eabm0590, 2022
202022
Particle-layering effect in wall-bounded dissipative particle dynamics
S Litvinov, M Ellero, X Hu, NA Adams
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 82 (6 …, 2010
202010
Mirheo: high-performance mesoscale simulations for microfluidics
D Alexeev, L Amoudruz, S Litvinov, P Koumoutsakos
Computer Physics Communications 254, 107298, 2020
172020
Microkinetic modeling of CO TPD spectra using coverage dependent microcalorimetric heats of adsorption
J Strunk, RN d‘Alnoncourt, M Bergmann, S Litvinov, X Xia, O Hinrichsen, ...
Physical Chemistry Chemical Physics 8 (13), 1556-1565, 2006
162006
Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks
P Karnakov, S Litvinov, P Koumoutsakos
PNAS nexus 3 (1), pgae005, 2024
152024
The system can't perform the operation now. Try again later.
Articles 1–20