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Physically Informed Deep Learning Technique for Estimating Blood Flow Parameters in Arterial Bifurcations

Lobachevskii journal of mathematics, 2024, Vol.45 (1), p.239-250

2024

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Numerical issues of modelling blood flow in networks of vessels with pathologies

Russian journal of numerical analysis and mathematical modelling, 2012-04, Vol.26 (6), p.605-622

2012

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Blood Flow Simulation in Atherosclerotic Vascular Network Using Fiber-Spring Representation of Diseased Wall

Mathematical modelling of natural phenomena, 2011-01, Vol.6 (5), p.333-349

2011

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Vessel Wall Models for Simulation of Atherosclerotic Vascular Networks

Mathematical modelling of natural phenomena, 2011-01, Vol.6 (Supplement), p.82-99

2011

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The Movement of Capital in the Field of Information Services

Journal of internet banking and commerce : JIBC, 2015, Vol.s1

2015

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Blood Flows in Vascular Networks: Numerical Results vs Experimental Data

Trends in Biomathematics: Modeling, Optimization and Computational Problems, 2018, p.335-346

2018

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Non-FSI 3D Hemodynamic Simulations in Time-Dependent Domains

Trends in Biomathematics: Chaos and Control in Epidemics, Ecosystems, and Cells, 2021, p.261-269

2021

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Electrophoretic study of serum proteins in female donors immunized against Rh factor

Problemy gematologii i perelivaniia krovi, 1974-04, Vol.19 (4), p.34

1974

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On the method of determination of serum iron by the ortho-phenanthroline method

Laboratornoe delo, 1967, Vol.2, p.98

1967

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Self-diffusion in monodisperse three-dimensional magnetic fluids by molecular dynamics simulations

Journal of magnetism and magnetic materials, 2017-06, Vol.431, p.176-179

2017

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Importance of matrix inelastic deformations in the initial response of magnetic elastomers

Soft matter, 2018, Vol.14 (11), p.217-2183

2018

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Core-shell nanogels: the effects of morphology, electro- and magnetostatic interactions

Soft matter, 2024-10, Vol.20 (39), p.7797-7810

2024

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Measuring FORCs diagrams in computer simulations as a mean to gain microscopic insight

Journal of magnetism and magnetic materials, 2020-05, Vol.501, p.166393, Article 166393

2020

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Multiscale models of blood flow in the compliant aortic bifurcation

Applied mathematics letters, 2019-07, Vol.93, p.98-104

2019

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Physically Informed Deep Learning Technique for Estimating Blood Flow Parameters in Four-Vessel Junction after the Fontan Procedure

Computation, 2024-02, Vol.12 (3), p.41

2024

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A new approach to the interpretation of B-type natriuretic peptide concentration in children with congenital heart disease

Journal of laboratory medicine, 2023-10, Vol.47 (5), p.225-232

2023

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Multiscale coupling of compliant and rigid walls blood flow models

International journal for numerical methods in fluids, 2016-12, Vol.82 (12), p.799-817

2016

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Patient-specific input data for predictive modelling of the Fontan procedure

Mathematical modelling of natural phenomena, 2024-07, Vol.19, p.16

2024

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Magneto-elastic coupling as a key to microstructural response of magnetic elastomers with flake-like particles

Soft matter, 2022-01, Vol.18 (3), p.496-56

2022

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A finite element solver and energy stable coupling for 3D and 1D fluid models

Computer methods in applied mechanics and engineering, 2013-06, Vol.259, p.166-176

2013

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Switching-field and first-order-reversal-curve distribution measurements in magnetic elastomers by molecular dynamics simulations: Accounting for polydispersity

Physical review. E, 2023-04, Vol.107 (4), Article 044606

2023

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Self-diffusion in bidisperse systems of magnetic nanoparticles

Physical review. E, 2021-01, Vol.103 (1), Article 012612

2021

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Computer Simulations of Dynamic Response of Ferrofluids on an Alternating Magnetic Field with High Amplitude

Mathematics (Basel), 2021-10, Vol.9 (20), p.2581

2021

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Dilution effects on combined magnetic and electric dipole interactions: A study of ferromagnetic cobalt nanoparticles with tuneable interactions

The Journal of chemical physics, 2017-08, Vol.147 (8), p.084901

2017

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Junction conditions for one-dimensional network hemodynamic model for total cavopulmonary connection using physically informed deep learning technique

Russian journal of numerical analysis and mathematical modelling, 2024-11, Vol.39 (5), p.259-271

2024

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Physically Informed Deep Learning Technique for Estimating Blood Flow Parameters in Arterial Bifurcations

Numerical issues of modelling blood flow in networks of vessels with pathologies

Blood Flow Simulation in Atherosclerotic Vascular Network Using Fiber-Spring Representation of Diseased Wall

Vessel Wall Models for Simulation of Atherosclerotic Vascular Networks

The Movement of Capital in the Field of Information Services

Blood Flows in Vascular Networks: Numerical Results vs Experimental Data

Non-FSI 3D Hemodynamic Simulations in Time-Dependent Domains

Electrophoretic study of serum proteins in female donors immunized against Rh factor

On the method of determination of serum iron by the ortho-phenanthroline method

Self-diffusion in monodisperse three-dimensional magnetic fluids by molecular dynamics simulations

Importance of matrix inelastic deformations in the initial response of magnetic elastomers

Core-shell nanogels: the effects of morphology, electro- and magnetostatic interactions

Measuring FORCs diagrams in computer simulations as a mean to gain microscopic insight

Multiscale models of blood flow in the compliant aortic bifurcation

Physically Informed Deep Learning Technique for Estimating Blood Flow Parameters in Four-Vessel Junction after the Fontan Procedure

A new approach to the interpretation of B-type natriuretic peptide concentration in children with congenital heart disease

Multiscale coupling of compliant and rigid walls blood flow models

Patient-specific input data for predictive modelling of the Fontan procedure

Magneto-elastic coupling as a key to microstructural response of magnetic elastomers with flake-like particles

A finite element solver and energy stable coupling for 3D and 1D fluid models

Switching-field and first-order-reversal-curve distribution measurements in magnetic elastomers by molecular dynamics simulations: Accounting for polydispersity

Self-diffusion in bidisperse systems of magnetic nanoparticles

Computer Simulations of Dynamic Response of Ferrofluids on an Alternating Magnetic Field with High Amplitude

Dilution effects on combined magnetic and electric dipole interactions: A study of ferromagnetic cobalt nanoparticles with tuneable interactions

Junction conditions for one-dimensional network hemodynamic model for total cavopulmonary connection using physically informed deep learning technique

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