Seuraa
Svyatoslav Korneev
Svyatoslav Korneev
Shifamed
Vahvistettu sähköpostiosoite verkkotunnuksessa akuramed.com
Nimike
Viittaukset
Viittaukset
Vuosi
Dynamics of ring dark solitons in Bose–Einstein condensates and nonlinear optics
AM Kamchatnov, SV Korneev
Physics Letters A 374 (45), 4625-4628, 2010
352010
Sequential homogenization of reactive transport in polydisperse porous media
S Korneev, I Battiato
Multiscale Modeling & Simulation 14 (4), 1301-1318, 2016
282016
Condition for convective instability of dark solitons
AM Kamchatnov, SV Korneev
Physics Letters A 375 (26), 2577-2580, 2011
252011
Fabricated shape estimation for additive manufacturing processes with uncertainty
S Korneev, Z Wang, V Thiagarajan, S Nelaturi
Computer-Aided Design 127, 102852, 2020
182020
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
182010
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
172017
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
152018
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
132020
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
122012
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
92021
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
72018
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
62022
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
32020
Modeling the transport dynamics in gasoline particulate filters
S Korneev, S Onori
Dynamic Systems and Control Conference 51906, V002T26A002, 2018
32018
Fabricated shape estimation for additive manufacturing processes
S Korneev, V Thiagarajan, S Nelaturi, Z Wang
US Patent 11,571,740, 2023
12023
Characterizing liquid reflective surfaces in 3d liquid metal printing
RR Price, R Bala, S Korneev, C Somarakis, M Shreve, A Lew, P Ramesh
US Patent App. 17/356,604, 2022
12022
Fabricated shape estimation for droplet-based additive manufacturing processes with uncertainty
S Korneev, V Thiagarajan, S Nelaturi
US Patent 11,524,463, 2022
12022
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
12022
Drop-on-demand printer having optimized nozzle design
C Somarakis, S Korneev, S Nelaturi, A Lew
US Patent App. 17/185,840, 2022
12022
Energy dissipative nozzles for drop-on-demand printing and methods thereof
C Somarakis, S Korneev, S Nelaturi, A Lew
US Patent App. 17/185,814, 2022
12022
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Artikkelit 1–20