Dr Yongmann Chung

Flying cars

T. Magata, A. Takii, M. Yamakawa, Y. Kobayashi, S. Asao, S. Takeuchi, Y. M. Chung 2025 Forward and turning flight simulation of flying cars and comparative evaluation of flight dynamics models considering wind disturbances. Journal of Computational Science 85, 102519. DOI: https://doi.org/10.1016/j.jocs.2024.102519

R. Mori, A. Takii, M. Yamakawa, S. Asao, S. Takeuchi, Y. Kobayashi, Y. M. Chung 2025 Flow field analysis of Vortex Ring State through descent experiments and simulations with a quadcopter. Journal of Computational Science 85, 102528. DOI: https://doi.org/10.1016/j.jocs.2025.102528

Machine learning

A. Takii, T. Ikeda, M. Yamakawa, Y. M. Chung, M. Kim 2026 Modeling and prediction of airborne infection risk in offices: A comprehensive CFD study and machine learning surrogate approach. Results in Engineering 30, 110778. DOI: https://doi.org/10.1016/j.rineng.2026.110778Link opens in a new window

W. H. Kim, Y. M. Chung, B. Stinner 2025 State of health prediction of lithium-ion batteries with adaptive loss-based graph neural network. Journal of Energy Storage 124, 116637. DOI: https://doi.org/10.1016/j.est.2025.116637

COVID transmission

A. Takii, T. Ikeda, M. Yamakawa, Y. M. Chung, M. Kim 2026 Modeling and prediction of airborne infection risk in offices: A comprehensive CFD study and machine learning surrogate approach. Results in Engineering 30, 110778. DOI: https://doi.org/10.1016/j.rineng.2026.110778Link opens in a new window

Takii, M. Yamakawa, A. Kitagawa, T. Watamura, Y. M. Chung and M. Kim 2022 A numerical model for cough-generated droplet dispersion on moving escalator with multiple passengers. Indoor Air 32 (11), e13131. DOI: https://doi.org/10.1111/ina.13131

M. Yamakawa, A. Kitagawa, K. Ogura, Y. M. Chung and M. Kim 2021 Computational investigation of prolonged airborne dispersion of novel coronavirus-laden droplets. J. of Aerosol Science 155, 105769. DOI:https://doi.org/10.1016/j.jaerosci.2021.105769.

Bio-fluid

M. Kim, G. J. Collier, J. M. Wild, Y. M. Chung 2018 Effect of upper airway on tracheobronchial fluid dynamics. International Journal for Numerical Methods in Biomedical Engineering, 34 (9), e3112. https://doi.org/10.1002/cnm.3112

G. J. Collier, M. Kim, Y. M. Chung, J. M. Wild 2018 3D phase contrast MRI in models of human airways - validation of computational fluid dynamics simulations of steady inspiratory flow. J. of Magnetic Resonance Imaging,48, 1400–1409. https://doi.org/10.1002/jmri.26039

Li-ion batteries

W. H. Kim, Y. M. Chung, B. Stinner 2025 State of health prediction of lithium-ion batteries with adaptive loss-based graph neural network. Journal of Energy Storage 124, 116637. DOI: https://doi.org/10.1016/j.est.2025.116637

P. Ping, Q. Wang, Y. M. Chung and J. Wen 2017 Modelling electro-thermal response of lithium-ion batteries from normal to abuse conditions. Applied Energy, 205, 1327-1344. https://doi:10.1016/j.apenergy.2017.08.073

T.R Ashwin, Y. M. Chung and J. Wang 2016 Capacity fade modelling of lithium-ion battery for battery management systems under cyclic loading conditions. J. of Power Sources328, 586-598. https://doi: 10.1016/j.jpowsour.2016.08.054

S. Chacko and Y. M. Chung 2012 Thermal modelling of Li-ion polymer battery for electric vehicle drive cycles. J. of Power Sources213, 296-303. https://doi: 10.1016/j.jpowsour.2012.04.015

Turbulent flows

X. Chen, Y. M. Chung and M. Wan 2024 The statistical characteristics and auto-regeneration of backflow in non-Newtonian turbulent pipe flow. Physics of Fluids 36, 025121. DOI: https://doi.org/10.1063/5.0186131

X. Chen, Y. M. Chung and M. Wan 2023 Backflow structures in turbulent pipe flows at low to moderate Reynolds numbers. J. of Fluid Mechanics 966, A38. DOI: https://doi.org/10.1017/jfm.2023.461

X. Chen, Y. M. Chung and M. Wan 2020 Uniform-momentum zones in a turbulent pipe flow fluid. J. of Fluid Mechanics884, A25. DOI: https://doi.org/10.1017/jfm.2019.947

Z. Wang R. Orlu, P. Schlatter, Y. M. Chung 2018 Direct numerical simulation of a turbulent 90 bend pipe flow. International Journal of Heat and Fluid Flow, 73, 199-208. DOI: http://10.1016/j.ijheatfluidflow.2018.08.003

E. Hurst, Q. Yang and Y. M. Chung 2014 The effect of Reynolds number on turbulent drag reduction by streamwise travelling waves. J. of Fluid Mechanics759, 28-55. http://doi:10.1017/jfm.2014.524

S. Y. Jung and Y. M. Chung 2012 Large-eddy simulation of accelerated turbulent flow in a circular pipe. Int. J. of Heat and Fluid Flow 33 (1), 1-8. http://doi:10.1016/j.ijheatfluidflow.2011.11.005

Novel fistula health monitoring for dialysis patients (Kidney Research UK)

High fidelity CFD modelling for flow control and shape optimisation (UKRI)