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Arthur Péquin
Arthur Péquin
Université Libre de Bruxelles
在 ulb.be 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
322021
The partially stirred reactor model for combustion closure in large eddy simulations: Physical principles, sub-models for the cell reacting fraction, and open challenges
A Péquin, S Iavarone, R Malpica Galassi, A Parente
Physics of Fluids 34 (5), 2022
262022
A joint numerical study of multi-regime turbulent combustion
B Fiorina, TP Luu, S Dillon, R Mercier, P Wang, L Angelilli, PP Ciottoli, ...
Applications in Energy and Combustion Science 16, 100221, 2023
82023
The reactor-based perspective on finite-rate chemistry in turbulent reacting flows: A review from traditional to low-emission combustion
A Péquin, MJ Evans, A Chinnici, PR Medwell, A Parente
Applications in Energy and Combustion Science, 100201, 2023
82023
Model identification in reactor-based combustion closures using sparse symbolic regression
RSM Freitas, A Péquin, RM Galassi, A Attili, A Parente
Combustion and Flame 255, 112925, 2023
72023
A generalized partially stirred reactor model for turbulent closure
E Quadarella, A Péquin, A Stagni, A Parente, T Faravelli, HG Im
Proceedings of the Combustion Institute 39 (4), 5329-5338, 2023
52023
Supervised clustering for optimal sub-model selection in reactor-based models
A Péquin, S Iavarone, R Malpica Galassi, A Parente
Flow, Turbulence and Combustion 112 (3), 931-955, 2024
12024
Large eddy simulation of MILD combustion
R Amaduzzi, A Péquin, A Parente
Fundamentals of Low Emission Flameless Combustion and Its Applications, 261-310, 2022
12022
A data-driven, physics-informed framework for sub-grid combustion closure using artificial neural network.
S Iavarone, A Pequin, N Swaminathan, A Parente
2023
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