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Marina V Karsanina

Showing results (1-10 of 8) with videos related to

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Physical Review Letters|January 13, 2019
Hierarchical Optimization: Fast and Robust Multiscale Stochastic Reconstructions with Rescaled Correlation FunctionsMarina V Karsanina, Kirill M Gerke
Physical Review. E|December 25, 2019
Calculation of tensorial flow properties on pore level: Exploring the influence of boundary conditions on the permeability of three-dimensional stochastic reconstructionsKirill M Gerke, Marina V Karsanina, Regina Katsman
Scientific Reports|November 3, 2015
Universal Stochastic Multiscale Image Fusion: An Example Application for Shale RockKirill M Gerke, Marina V Karsanina, Dirk Mallants
Physical Review. E|January 20, 2024
Measuring structural nonstationarity: The use of imaging information to quantify homogeneity and inhomogeneityEfim V Lavrukhin, Marina V Karsanina, Kirill M Gerke
Physical Review. E|November 20, 2024
Evaluation of three-point correlation functions from structural images on CPU and GPU architectures: Accounting for anisotropy effectsVasily Postnicov, Marina V Karsanina, Aleksey Khlyupin, et al.
Plos One|May 27, 2015
Universal spatial correlation functions for describing and reconstructing soil microstructureMarina V Karsanina, Kirill M Gerke, Elena B Skvortsova, et al.
Journal of Colloid and Interface Science|December 11, 2025
Exploring global and local minima for fluid distributions within porous media: more robust and faster computations using combined simulated annealing and phase-field modelsAndrey S Zubov, Marina V Karsanina, Vladislav Balashov, et al.
Physical Review. E|July 19, 2023
Robust surface-correlation-function evaluation from experimental discrete digital imagesAleksei Samarin, Vasily Postnicov, Marina V Karsanina, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Physical Review Letters|January 13, 2019
Hierarchical Optimization: Fast and Robust Multiscale Stochastic Reconstructions with Rescaled Correlation FunctionsMarina V Karsanina, Kirill M Gerke
Physical Review. E|December 25, 2019
Calculation of tensorial flow properties on pore level: Exploring the influence of boundary conditions on the permeability of three-dimensional stochastic reconstructionsKirill M Gerke, Marina V Karsanina, Regina Katsman
Scientific Reports|November 3, 2015
Universal Stochastic Multiscale Image Fusion: An Example Application for Shale RockKirill M Gerke, Marina V Karsanina, Dirk Mallants
Physical Review. E|January 20, 2024
Measuring structural nonstationarity: The use of imaging information to quantify homogeneity and inhomogeneityEfim V Lavrukhin, Marina V Karsanina, Kirill M Gerke
Physical Review. E|November 20, 2024
Evaluation of three-point correlation functions from structural images on CPU and GPU architectures: Accounting for anisotropy effectsVasily Postnicov, Marina V Karsanina, Aleksey Khlyupin, et al.
Plos One|May 27, 2015
Universal spatial correlation functions for describing and reconstructing soil microstructureMarina V Karsanina, Kirill M Gerke, Elena B Skvortsova, et al.
Journal of Colloid and Interface Science|December 11, 2025
Exploring global and local minima for fluid distributions within porous media: more robust and faster computations using combined simulated annealing and phase-field modelsAndrey S Zubov, Marina V Karsanina, Vladislav Balashov, et al.
Physical Review. E|July 19, 2023
Robust surface-correlation-function evaluation from experimental discrete digital imagesAleksei Samarin, Vasily Postnicov, Marina V Karsanina, et al.
Pageof 1