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Sergey Karabasov

Showing results (1-10 of 11) with videos related to

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The Journal of Physical Chemistry Letters|August 19, 2015
Water-Peptide Dynamics during Conformational TransitionsDmitry Nerukh, Sergey Karabasov
Frontiers in Cardiovascular Medicine|March 8, 2024
Editorial: Computational modelling of cardiovascular hemodynamics and machine learningChristos Bourantas, Ryo Torii, Sergey Karabasov, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 15, 2019
Advances in aeroacoustics research: recent developments and perspectivesSergey Karabasov, Lorna Ayton, Xuesong Wu, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|July 2, 2014
Multiscale modelling: approaches and challengesSergey Karabasov, Dmitry Nerukh, Alfons Hoekstra, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|December 20, 2022
Interfacial Layer Breaker: A Violation of Stokes' Law in High-Speed Atomic Force Microscope FlowsFan Li, Stoyan K Smoukov, Ivan Korotkin, et al.
The Journal of Physical Chemistry. B|March 16, 2021
Benchmarking of Molecular Dynamics Force Fields for Solid-Liquid and Solid-Solid Phase Transitions in AlkanesStephen A Burrows, Ivan Korotkin, Stoyan K Smoukov, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|July 2, 2014
Concurrent multiscale modelling of atomistic and hydrodynamic processes in liquidsAnton Markesteijn, Sergey Karabasov, Arturs Scukins, et al.
Faraday Discussions|October 24, 2014
Visualising and controlling the flow in biomolecular systems at and between multiple scales: from atoms to hydrodynamics at different locations in time and spaceEvgen Pavlov, Makoto Taiji, Arturs Scukins, et al.
The Journal of Chemical Physics|July 10, 2015
A hybrid molecular dynamics/fluctuating hydrodynamics method for modelling liquids at multiple scales in space and timeIvan Korotkin, Sergey Karabasov, Dmitry Nerukh, et al.
Frontiers in Cardiovascular Medicine|October 16, 2023
A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteriesBenjamin Morgan, Amal Roy Murali, George Preston, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
The Journal of Physical Chemistry Letters|August 19, 2015
Water-Peptide Dynamics during Conformational TransitionsDmitry Nerukh, Sergey Karabasov
Frontiers in Cardiovascular Medicine|March 8, 2024
Editorial: Computational modelling of cardiovascular hemodynamics and machine learningChristos Bourantas, Ryo Torii, Sergey Karabasov, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 15, 2019
Advances in aeroacoustics research: recent developments and perspectivesSergey Karabasov, Lorna Ayton, Xuesong Wu, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|July 2, 2014
Multiscale modelling: approaches and challengesSergey Karabasov, Dmitry Nerukh, Alfons Hoekstra, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|December 20, 2022
Interfacial Layer Breaker: A Violation of Stokes' Law in High-Speed Atomic Force Microscope FlowsFan Li, Stoyan K Smoukov, Ivan Korotkin, et al.
The Journal of Physical Chemistry. B|March 16, 2021
Benchmarking of Molecular Dynamics Force Fields for Solid-Liquid and Solid-Solid Phase Transitions in AlkanesStephen A Burrows, Ivan Korotkin, Stoyan K Smoukov, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|July 2, 2014
Concurrent multiscale modelling of atomistic and hydrodynamic processes in liquidsAnton Markesteijn, Sergey Karabasov, Arturs Scukins, et al.
Faraday Discussions|October 24, 2014
Visualising and controlling the flow in biomolecular systems at and between multiple scales: from atoms to hydrodynamics at different locations in time and spaceEvgen Pavlov, Makoto Taiji, Arturs Scukins, et al.
The Journal of Chemical Physics|July 10, 2015
A hybrid molecular dynamics/fluctuating hydrodynamics method for modelling liquids at multiple scales in space and timeIvan Korotkin, Sergey Karabasov, Dmitry Nerukh, et al.
Frontiers in Cardiovascular Medicine|October 16, 2023
A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteriesBenjamin Morgan, Amal Roy Murali, George Preston, et al.
Pageof 2