Search Results - "Drikakis, Dimitris"

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  1. 1

    Machine-Learning Methods for Computational Science and Engineering by Frank, Michael, Drikakis, Dimitris, Charissis, Vassilis

    Published in Computation (01-03-2020)
    “…The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML…”
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  2. 2

    The Role of Computational Science in Wind and Solar Energy: A Critical Review by Drikakis, Dimitris, Dbouk, Talib

    Published in Energies (Basel) (01-12-2022)
    “…This paper concerns technology challenges for the wind and solar sectors and the role of computational science in addressing the above. Wind energy challenges…”
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  3. 3

    WENO schemes on arbitrary unstructured meshes for laminar, transitional and turbulent flows by Tsoutsanis, Panagiotis, Antoniadis, Antonios Foivos, Drikakis, Dimitris

    Published in Journal of computational physics (01-01-2014)
    “…This paper presents the development and implementation of weighted-essentially-non-oscillatory (WENO) schemes for viscous flows on arbitrary unstructured…”
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  4. 4

    Can Artificial Intelligence Accelerate Fluid Mechanics Research? by Drikakis, Dimitris, Sofos, Filippos

    Published in Fluids (Basel) (01-07-2023)
    “…The significant growth of artificial intelligence (AI) methods in machine learning (ML) and deep learning (DL) has opened opportunities for fluid dynamics and…”
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  5. 5

    Natural Ventilation and Aerosol Particles Dispersion Indoors by Dbouk, Talib, Drikakis, Dimitris

    Published in Energies (Basel) (01-07-2022)
    “…Aerosol pollutant particles indoors significantly affect public health. The conventional wisdom is that natural ventilation will alleviate the dispersion of…”
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  6. 6

    Vortex morphology in Richtmyer–Meshkov-induced turbulent mixing by Kokkinakis, Ioannis W., Drikakis, Dimitris, Youngs, David L.

    Published in Physica. D (01-06-2020)
    “…This study investigates the vortical structures that form and develop during the turbulent mixing induced by the Richtmyer–Meshkov instability (RMI). By using…”
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  7. 7

    Risk assessment of pollen allergy in urban environments by Dbouk, Talib, Visez, Nicolas, Ali, Samer, Shahrour, Isam, Drikakis, Dimitris

    Published in Scientific reports (06-12-2022)
    “…According to WHO, by 2050, at least one person out of two will suffer from an allergy disorder resulting from the accelerating air pollution associated with…”
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  8. 8

    Advancing thermal performance through vortex generators morphing by Ali, Samer, Dbouk, Talib, Wang, Guanghui, Wang, Dingbiao, Drikakis, Dimitris

    Published in Scientific reports (07-01-2023)
    “…The design of rigid vortex generators (RVG) influences the thermal performance of various technologies. We employed Discrete Adjoint-Based Optimization to show…”
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  9. 9

    A Computational Methodology for Assessing Wind Potential by Christakis, Nicholas, Evangelou, Ioanna, Drikakis, Dimitris, Kossioris, George

    Published in Energies (Basel) (01-03-2024)
    “…This paper introduces an innovative and eco-friendly computational methodology to assess the wind potential of a location with the aid of high-resolution…”
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  10. 10

    Multiscale Computational Fluid Dynamics by Drikakis, Dimitris, Frank, Michael, Tabor, Gavin

    Published in Energies (Basel) (25-08-2019)
    “…Computational Fluid Dynamics (CFD) has numerous applications in the field of energy research, in modelling the basic physics of combustion, multiphase flow and…”
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  11. 11

    Reducing Uncertainty and Increasing Confidence in Unsupervised Learning by Christakis, Nicholas, Drikakis, Dimitris

    Published in Mathematics (Basel) (01-07-2023)
    “…This paper presents the development of a novel algorithm for unsupervised learning called RUN-ICON (Reduce UNcertainty and Increase CONfidence). The primary…”
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  12. 12

    Unsupervised Learning of Particles Dispersion by Christakis, Nicholas, Drikakis, Dimitris

    Published in Mathematics (Basel) (01-09-2023)
    “…This paper discusses using unsupervised learning in classifying particle-like dispersion. The problem is relevant to various applications, including virus…”
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  13. 13

    Film Boiling Conjugate Heat Transfer during Immersion Quenching by Kamenicky, Robin, Frank, Michael, Drikakis, Dimitris, Ritos, Konstantinos

    Published in Energies (Basel) (01-06-2022)
    “…Boiling conjugate heat transfer is an active field of research encountered in several industries, including metallurgy, power generation and electronics. This…”
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  14. 14

    Performance of high-order implicit large eddy simulations by Ritos, Konstantinos, Kokkinakis, Ioannis W., Drikakis, Dimitris

    Published in Computers & fluids (15-09-2018)
    “…•Parallel scalability using up to one billion cells for the Taylor Green Vortex.•High-order iLES vs strict DNS: accuracy and computational cost.•9th-order iLES…”
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  15. 15

    Endotracheal Tubes Design: The Role of Tube Bending by Dbouk, Talib, Drikakis, Dimitris

    Published in Symmetry (Basel) (01-08-2021)
    “…Endotracheal tubes (ETT) passed inside the human trachea witness tube bending at different angles, affecting the local fluid flow dynamics. This induces a…”
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  16. 16

    Machine-Learning Methods on Noisy and Sparse Data by Poulinakis, Konstantinos, Drikakis, Dimitris, Kokkinakis, Ioannis W., Spottswood, Stephen Michael

    Published in Mathematics (Basel) (01-01-2023)
    “…Experimental and computational data and field data obtained from measurements are often sparse and noisy. Consequently, interpolating unknown functions under…”
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  17. 17

    Comparison of structured- and unstructured-grid, compressible and incompressible methods using the vortex pairing problem by Tsoutsanis, Panagiotis, Kokkinakis, Ioannis W., Könözsy, László, Drikakis, Dimitris, Williams, Robin J.R., Youngs, David L.

    “…The accuracy, robustness, dissipation characteristics and efficiency of several structured and unstructured grid methods are investigated with reference to the…”
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  18. 18

    On the implicit large eddy simulations of homogeneous decaying turbulence by Thornber, Ben, Mosedale, Andrew, Drikakis, Dimitris

    Published in Journal of computational physics (01-10-2007)
    “…Simulations of homogeneous decaying turbulence (HDT) in a periodic cube have been used to examine in a detailed and quantitative manner the behaviour of…”
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  19. 19

    Advances in turbulent flow computations using high-resolution methods by Drikakis, Dimitris

    Published in Progress in aerospace sciences (01-08-2003)
    “…The paper reviews research activity in connection with the use of high-resolution methods in turbulent flow computations. High-resolution methods have proven…”
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  20. 20

    Draining Water from Aircraft Fuel Using Nitrogen Enriched Air by Frank, Michael, Drikakis, Dimitris

    Published in Energies (Basel) (01-04-2018)
    “…This paper concerns a computational study of the process of removing water from an aircraft’s fuel tank by pumping nitrogen enriched air (NEA) from the bottom…”
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