Nguyen Anh Khoa Doan, Ph.D.
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DNS of MILD combustion with mixture fraction variations
NAK Doan, N Swaminathan, Y Minamoto
Combustion and Flame 189, 173-189, 2018
Simulation of MILD combustion using Perfectly Stirred Reactor model
Z Chen, VM Reddy, S Ruan, NAK Doan, WL Roberts, N Swaminathan
Proceedings of the Combustion Institute 36 (3), 4279-4286, 2017
Multiscale analysis of turbulence-flame interaction in premixed flames
NAK Doan, N Swaminathan, N Chakraborty
Proceedings of the Combustion Institute 36 (2), 1929-1935, 2017
Autoignition and flame propagation in non-premixed MILD combustion
NAK Doan, N Swaminathan
Combustion and Flame, 2019
Scale locality of the energy cascade using real space quantities
NAK Doan, N Swaminathan, PA Davidson, M Tanahashi
Physical Review Fluids 3 (8), 084601, 2018
Multiscale analysis of head-on quenching premixed turbulent flames
U Ahmed, NAK Doan, J Lai, M Klein, N Chakraborty, N Swaminathan
Physics of Fluids 30 (10), 105102, 2018
Numerical study of a cyclonic combustor under moderate or intense low-oxygen dilution conditions using non-adiabatic tabulated chemistry
ZX Chen, NAK Doan, XJ Lv, N Swaminathan, G Ceriello, G Sorrentino, ...
Energy & Fuels 32 (10), 10256-10265, 2018
Role of radicals on MILD combustion inception
NAK Doan, N Swaminathan
Proceedings of the Combustion Institute 37 (4), 4539-4546, 2019
Physics-informed echo state networks for chaotic systems forecasting
NAK Doan, W Polifke, L Magri
International Conference on Computational Science, 192-198, 2019
Study of polycyclic aromatic hydrocarbons (PAHs) in hydrogen-enriched methane diffusion flames
C Ezenwajiaku, M Talibi, NAK Doan, N Swaminathan, R Balachandran
International Journal of Hydrogen Energy 44 (14), 7642-7655, 2019
A priori analysis of sub-grid variance of a reactive scalar using DNS data of high Ka flames
T Nilsson, I Langella, NAK Doan, N Swaminathan, R Yu, XS Bai
Combustion Theory and Modelling 23 (5), 885-906, 2019
A priori investigation of subgrid correlation of mixture fraction and progress variable in partially premixed flames
ZX Chen, NAK Doan, S Ruan, I Langella, N Swaminathan
Combustion Theory and Modelling 22 (5), 862-882, 2018
Study of subgrid-scale velocity models for reacting and nonreacting flows
I Langella, NAK Doan, N Swaminathan, SB Pope
Physical Review Fluids 3 (5), 054602, 2018
Assessment of SGS closure for isochoric combustion of hydrogen-air mixture
G Ghiasi, NAK Doan, N Swaminathan, B Yenerdag, Y Minamoto, ...
International Journal of Hydrogen Energy 43 (16), 8105-8115, 2018
Filtered Reaction Rate Modelling in Moderate and High Karlovitz Number Flames: an a Priori Analysis
T Nilsson, R Yu, NAK Doan, I Langella, N Swaminathan, XS Bai
Flow, Turbulence and Combustion 103 (3), 643-665, 2019
Learning hidden states in a chaotic system: A physics-informed echo state network approach
NAK Doan, W Polifke, L Magri
arXiv preprint arXiv:2001.02982, 2020
A physics-aware machine to predict extreme events in turbulence
NAK Doan, W Polifke, L Magri
arXiv preprint arXiv:1912.10994, 2019
Analysis of markers for combustion mode and heat release in MILD combustion using DNS data
NAK Doan, N Swaminathan
Combustion Science and Technology 191 (5-6), 1059-1078, 2019
Physical Insights of Non-Premixed MILD Combustion using DNS
NAK Doan
University of Cambridge, 2019
Physics-informed data-driven prediction of turbulent reacting flows with Lyapunov analysis and sequential data assimilation
L Magri, NAK Doan
Data Analysis for Direct Numerical Simulations of Turbulent Combustion, 177-196, 2020
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