| An evolutionary, data-driven approach for mechanism optimization: theory and application to ammonia combustion A Bertolino, M Fürst, A Stagni, A Frassoldati, M Pelucchi, C Cavallotti, ... Combustion and Flame 229, 111366, 2021 | 63 | 2021 |
| Key modeling aspects in the simulation of a quasi-industrial 20 kW moderate or intense low-oxygen dilution combustion chamber M Ferrarotti, M Fürst, E Cresci, W De Paepe, A Parente Energy & fuels 32 (10), 10228-10241, 2018 | 41 | 2018 |
| CFD dispersion study based on a variable Schmidt formulation for flows around different configurations of ground-mounted buildings R Longo, M Fürst, A Bellemans, M Ferrarotti, M Derudi, A Parente Building and Environment 154, 336-347, 2019 | 32 | 2019 |
| Optimization of chemical kinetics for methane and biomass pyrolysis products in moderate or intense low-Oxygen dilution combustion M Fürst, P Sabia, M Lubrano Lavadera, G Aversano, M De Joannon, ... Energy & fuels 32 (10), 10194-10201, 2018 | 27 | 2018 |
| OptiSMOKE++: A toolbox for optimization of chemical kinetic mechanisms M Fürst, A Bertolino, A Cuoci, T Faravelli, A Frassoldati, A Parente Computer Physics Communications 264, 107940, 2021 | 23 | 2021 |
| Prediction of the octane number: a Bayesian pseudo-component method S Tipler, M Fürst, Q Van Haute, F Contino, A Coussement Energy & Fuels 34 (10), 12598-12605, 2020 | 8 | 2020 |
| Uncertainty Quantification and Optimization of kinetic mechanisms for non-conventional combustion regimes: Turning uncertainties into possibilities M Fürst Politecnico di Milano, Department of Chemistry, Materials and Chemical …, 2020 | 2 | 2020 |
| Uncertainty Quantification of chemical kinetics for MILD Combustion M Fürst, A Parente | 1 | 2016 |
| Uncertainty Quantification and Optimization of kinetic mechanisms for non-conventional combustion regimes M FÜRST Italy, 2020 | | 2020 |
| Optimisation of chemical mechanisms for MILD conditions A Bertolino, M Fürst, A Parente Seventeenth International Conference on Numerical combustion (NC19), 2019 | | 2019 |
| Efficient tool for optimization of chemical kinetics M Fürst, A Bertolino, A Cuoci, A Frassoldati, A Parente | | 2019 |
| Optimization of NH3 chemical kinetics for low temperature combustion at high pressures A Bertolino, M Fürst, M Pochet, A Stagni, A Frassoldati, F Contino, ... | | 2019 |
| Predictability of existing chemical kinetics in MILD combustion M Fürst, A Bertolino, A Frassoldati, A Parente | | 2019 |
| Development of a coupling between OpenSMOKE++ and Dakota for Optimization of chemical kinetics M Fürst, A Cuoci, A Frassoldati, A Parente | | 2018 |
| Characterization of unconventional fuel from car residue processing: uncertainty quantification of composition prediction. S Tipler, M Fürst, Q Van Haute, F Contino, A Coussement | | 2018 |
| The optimization of chemical kinetics with respect to mild combustion M Fürst, A Parente Proceedings of the 25th" Journées D'étude" Belgian Section of the Combustion …, 2018 | | 2018 |
| Effect of mechanism reduction on the Uncertainty Quantification of chemical kinetics for MILD combustion M Fürst, A Cuoci, A Parente | | 2017 |
| OOpenSMOKE++ S M Fürst, A Cuoci, A Frassoldati, A Parente | | |
| Uncertainty quantification of chemical kinetics for Moderate or Low-oxygen Dilution (MILD) combustion M Fürst, A Cuocib, A Parentea | | |
| SMARTCATs COST Action Short Term Scientific Mission Report M Fürst | | |
Alessandro ParenteUniversité Libre de BruxellesVerified email at ulb.ac.be
