Svyatoslav Korneev
Cited by
Cited by
Dynamics of ring dark solitons in Bose–Einstein condensates and nonlinear optics
AM Kamchatnov, SV Korneev
Physics Letters A 374 (45), 4625-4628, 2010
Sequential homogenization of reactive transport in polydisperse porous media
S Korneev, I Battiato
Multiscale Modeling & Simulation 14 (4), 1301-1318, 2016
Condition for convective instability of dark solitons
AM Kamchatnov, SV Korneev
Physics Letters A 375 (26), 2577-2580, 2011
Flow of a Bose-Einstein condensate in a quasi-one-dimensional channel under the action of a piston
AM Kamchatnov, SV Korneev
Journal of Experimental and Theoretical Physics 110, 170-182, 2010
Fabricated shape estimation for additive manufacturing processes with uncertainty
S Korneev, Z Wang, V Thiagarajan, S Nelaturi
Computer-Aided Design 127, 102852, 2020
Multiscale modeling approach to determine effective lithium-ion transport properties
H Arunachalam, S Korneev, I Battiato, S Onori
2017 American Control Conference (ACC), 92-97, 2017
Constrained image generation using binarized neural networks with decision procedures
S Korneev, N Narodytska, L Pulina, A Tacchella, N Bjorner, M Sagiv
Theory and Applications of Satisfiability Testing–SAT 2018: 21st …, 2018
A data-driven multiscale framework to estimate effective properties of lithium-ion batteries from microstructure images
S Korneev, H Arunachalam, S Onori, I Battiato
Transport in Porous Media 134 (1), 173-194, 2020
Oblique solitons generated by the flow of a polariton condensate past an obstacle
AM Kamchatnov, SV Korneev
Journal of Experimental and Theoretical Physics 115, 579-585, 2012
Downscaling‐Based Segmentation for Unresolved Images of Highly Heterogeneous Granular Porous Samples
SV Korneev, X Yang, JM Zachara, TD Scheibe, I Battiato
Water Resources Research 54 (4), 2871-2890, 2018
Homogenization-informed convolutional neural networks for estimation of li-ion battery effective properties
RM Weber, S Korneev, I Battiato
Transport in Porous Media 145 (2), 527-548, 2022
Upscaling and Automation: Pushing the Boundaries of Multiscale Modeling through Symbolic Computing: An Introduction to Symbolica
K Pietrzyk, S Korneev, M Behandish, I Battiato
Transport in Porous Media 140 (1), 313-349, 2021
Modeling the Flow and Transport Dynamics in Gasoline Particulate Filters to Improve Filtration Efficiency
S Korneev, S Onori
Journal of Dynamic Systems, Measurement, and Control 142 (6), 061006, 2020
Modeling the transport dynamics in gasoline particulate filters
S Korneev, S Onori
Dynamic Systems and Control Conference 51906, V002T26A002, 2018
Using convolutional neural network to calculate effective properties of porous electrode
H Arunachalam, SO Svyatoslav Korneev, I Battiato
Journal of The Electrochemical Society (in preparation to submit).(February …, 2018
Fabricated shape estimation for additive manufacturing processes
S Korneev, V Thiagarajan, S Nelaturi, Z Wang
US Patent 11,571,740, 2023
Physics-based nozzle design rules for high-frequency liquid metal jetting
J Seo, C Somarakis, S Korneev, M Behandish, AJ Lew
Physics of Fluids 34 (10), 2022
Inferring surface properties of oscillating fluids from video by inversion of physics models
B Price, S Korneev, A Lew, C Somarakis, R Bala, JS Ju
Electronic Imaging 34, 1-7, 2022
Transport Model of Particulate in Gasoline Particulate Filter
S Korneev, S Onori
ASME Proceeding, V002T26A002, 2018
Detonation in supersonic radial outflow
AR Kasimov, SV Korneev
Journal of fluid mechanics 760, 313-341, 2014
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