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[Књига][B] Multiscale Model Reduction
The mathematization of all sciences, the fading of traditional scientific boundaries, the
impact of computer technology, the growing importance of computer modeling and the …
impact of computer technology, the growing importance of computer modeling and the …
[HTML][HTML] Development of a convolutional neural network based geomechanical upscaling technique for heterogeneous geological reservoir
Geomechanical assessment using coupled reservoir-geomechanical simulation is
becoming increasingly important for analyzing the potential geomechanical risks in …
becoming increasingly important for analyzing the potential geomechanical risks in …
Prediction of numerical homogenization using deep learning for the Richards equation
For the nonlinear Richards equation as an unsaturated flow through heterogeneous media,
we build a new coarse-scale approximation algorithm utilizing numerical homogenization …
we build a new coarse-scale approximation algorithm utilizing numerical homogenization …
Multicontinuum homogenization and its relation to nonlocal multicontinuum theories
In this paper, we present a general derivation of multicontinuum equations and discuss cell
problems. We present constraint cell problem formulations in a representative volume …
problems. We present constraint cell problem formulations in a representative volume …
Decoupled multiscale numerical approach for reactive transport in marine sediment column
In this work, we consider biotic and abiotic reactive transport processes through marine
sediment vertical profiles. The mathematical model is described by a multicomponent …
sediment vertical profiles. The mathematical model is described by a multicomponent …
A deep learning upscaling framework: Reactive transport and mineral precipitation in fracture-matrix systems
Pore-scale modeling has limited applicability at large scales due to its high computational
cost. One common approach to upscale pore-scale models is the use of effective medium …
cost. One common approach to upscale pore-scale models is the use of effective medium …
Generalized Multiscale Finite Element Method for discrete network (graph) models
M Vasilyeva - Journal of Computational and Applied Mathematics, 2025 - Elsevier
In this paper, we consider a time-dependent discrete network model with highly varying
connectivity. The approximation by time is performed using an implicit scheme. We propose …
connectivity. The approximation by time is performed using an implicit scheme. We propose …
[HTML][HTML] Machine learning for accelerating macroscopic parameters prediction for poroelasticity problem in stochastic media
In this paper, we consider a coarse grid approximation (numerical homogenization and
multiscale finite element method) for the poroelasticity problem with stochastic properties …
multiscale finite element method) for the poroelasticity problem with stochastic properties …
[HTML][HTML] Estimation of macroscopic failure strength of heterogeneous geomaterials containing inclusion and pore with artificial neural network approach
This work is devoted to estimation of macroscopic failure strength of heterogeneous rock-like
and cement-based materials. Three representative microstructures are considered …
and cement-based materials. Three representative microstructures are considered …
[HTML][HTML] Generalized multiscale finite element method for multicontinua unsaturated flow problems in fractured porous media
In this paper, we present a multiscale method for simulations of the multicontinua
unsaturated flow problems in heterogeneous fractured porous media. The mathematical …
unsaturated flow problems in heterogeneous fractured porous media. The mathematical …