| DNS of MILD combustion with mixture fraction variations NAK Doan, N Swaminathan, Y Minamoto Combustion and Flame 189, 173-189, 2018 | 85 | 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 | 67 | 2017 |
| Physics-informed echo state networks NAK Doan, W Polifke, L Magri Journal of Computational Science 47, 101237, 2020 | 50 | 2020 |
| Physics-informed echo state networks for chaotic systems forecasting NAK Doan, W Polifke, L Magri Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019 | 48 | 2019 |
| Autoignition and flame propagation in non-premixed MILD combustion NAK Doan, N Swaminathan Combustion and Flame, 2019 | 46 | 2019 |
| Short-and long-term predictions of chaotic flows and extreme events: a physics-constrained reservoir computing approach NAK Doan, W Polifke, L Magri Proceedings of the Royal Society A 477 (2253), 20210135, 2021 | 39 | 2021 |
| 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 | 37 | 2018 |
| 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 | 37 | 2017 |
| 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), 2018 | 33 | 2018 |
| An a priori assessment of the Partially Stirred Reactor (PaSR) model for MILD combustion S Iavarone, A Péquin, ZX Chen, NAK Doan, N Swaminathan, A Parente Proceedings of the combustion institute 38 (4), 5403-5414, 2021 | 29 | 2021 |
| 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 | 28 | 2019 |
| Role of radicals on MILD combustion inception NAK Doan, N Swaminathan Proceedings of the Combustion Institute 37 (4), 4539-4546, 2019 | 27 | 2019 |
| First-principles machine learning modelling of COVID-19 L Magri, NAK Doan arXiv preprint arXiv:2004.09478, 2020 | 26 | 2020 |
| Modeling of the nonlinear flame response of a Bunsen-type flame via multi-layer perceptron N Tathawadekar, NAK Doan, CF Silva, N Thuerey Proceedings of the Combustion Institute 38 (4), 6261-6269, 2021 | 24 | 2021 |
| 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 | 23 | 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 | 22 | 2019 |
| Identification of combustion mode under mild conditions using chemical explosive mode analysis NAK Doan, S Bansude, K Osawa, Y Minamoto, T Lu, JH Chen, ... Proceedings of the Combustion Institute 38 (4), 5415-5422, 2021 | 18 | 2021 |
| 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 | 18 | 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 | 18 | 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 | 16 | 2018 |
N SwaminathanCambridge University Engineering Department在 cam.ac.uk 的电子邮件经过验证
