You can find a complete list of publications on Google Scholar and on the UoE Research Explorer

Books

• H. Pitsch, A. Attili, "Data Analysis for Direct Numerical Simulations of Turbulent Combustion. From Equation-Based Analysis to Machine Learning" Springer International Publishing, 2020

Journal publications

2025

• L. Berger, A. Attili, M. Gauding,  H. Pitsch “LES combustion model for premixed turbulent hydrogen flames with thermodiffusive instabilities: a priori and a posteriori analysis”  Journal of Fluid Mechanics, vol. 1003, p. A33

• G. Scialabba, M. Davidovic, A. Attili, H. Pitsch “Direct numerical simulation of soot break-through in turbulent non-premixed flames”  Combustion and Flame, vol. 275, p. 114093

• G. Arumapperuma, N. Sorace, M. Jansen, O. Bladek, L. Nista, S. Sakhare, L. Berger, H. Pitsch, T. Grenga,  A. Attili  “Extrapolation Performance of Convolutional Neural Network-Based Combustion Models for Large-Eddy Simulation: Influence of Reynolds Number, Filter Kernel and Filter Size”  Flow, Turbulence and Combustion, p.1--30

• K. Niemietz, M. Steinhausen, C. Hasse, A. Attili, H. Pitsch “A-priori analysis of CO modeling approaches for premixed turbulent jet flames with flame-wall interaction”  Combustion and Flame vol. 278 p. 114242

• L. Nista, C.D. Schumann, P. Petkov, V. Pavlov, T. Grenga, J.F. MacArt, A. Attili, S. Markov, H. Pitsch “Parallel implementation and performance of super-resolution generative adversarial network turbulence models for large-eddy simulation”  Computers & Fluids, p.106498

2024

• L. Nista, C.D. Schumann, F. Fröde, M. Gowely, T. Grenga, J.F. MacArt, A. Attili, H. Pitsch “Super-Resolution-based Generative Adversarial Network for Data Compression of Direct Numerical Simulations”  arXiv preprint arXiv:2412.14150

• S. Al Kassar, L. Berger, P.E. Lapenna, F. Creta, H. Pitsch, A. Attili  “Efficient and accurate calculation of dispersion relations for intrinsically unstable premixed flames”  Combustion and Flame 269, p.113640

• P. Farmand, H. Nicolai, M. Usman, L. Berger, A. Attili, M. Gauding, C. Hasse, H. Pitsch  “Modeling homogeneous ignition processes of clustering solid particle clouds in isotropic turbulence” Fuel, p.132054

• L. Nista, H. Pitsch, C.D.K. Schumann, M. Bode, T. Grenga, J.F. MacArt, A. Attili  “Influence of adversarial training on super-resolution turbulence reconstruction”  Physical Review Fluids 9:6, p.064601

• H. Chu, L. Berger, M. Gauding, A. Attili, H. Pitsch  “Effects of dilatation and turbulence on tangential strain rates in premixed hydrogen and iso-octane flames”  Journal of Fluid Mechanics 981, A5

• A. Remiddi, P.E. Lapenna, D. Cavalieri, D. Schintu, G. Indelicato, A. Attili, L. Berger, H. Pitsch, F. Creta  “Data-driven modeling of resolved and filtered thermo-diffusively unstable hydrogen–air flames”  Proceedings of the Combustion Institute 40:1-4 p.105713

• L. Berger, A. Attili, M. Gauding, H. Pitsch  “Effects of Karlovitz number variations on thermodiffusive instabilities in lean turbulent hydrogen jet flames”  Proceedings of the Combustion Institute 40:1-4 p.105219

• G. Arumapperuma, Y. Tang, A. Attili, W. Han  “Spectral analysis of soot dynamics in an aero-engine model combustor”  Proceedings of the Combustion Institute 40:1-4 p.105344

• L. Nista, C.D.K. Schumann, M. Vivenzo, F. Fröde, T. Grenga, JF. MacArt, A. Attili, H. Pitsch  “Homogeneous isotropic turbulence database for training super-resolution data-driven turbulence closure models”  RWTH-2024-03259

2023

• T. Grenga, L. Nista, C. Schumann, A.N. Karimi, G. Scialabba, A. Attili, H. Pitsch “Predictive data-driven model based on generative adversarial network for premixed turbulence-combustion regimes”  Combustion Science and Technology 195 (15), 3923-3946

• R.S.M. Freitas, A. Péquin, R.M. Galassi, A. Attili, A. Parente “Model identification in reactor-based combustion closures using sparse symbolic regression”  Combustion and Flame 255, 112925

• Y. Wang, W. Han, T. Zirwes, A. Attili, L. Cai, H. Bockhorn, L. Yang, Z. Chen “A systematic analysis of chemical mechanisms for ethylene oxidation and PAH formation”  Combustion and Flame 253, 112784

• K. Zdybał, G. D’Alessio, A. Attili, A. Coussement, J.C. Sutherland, A. Parente “Local manifold learning and its link to domain-based physics knowledge”  Applications in Energy and Combustion Science 14, 100131

• A. Attili, M.G.D. Jansen, N. Sorace, M. Bruce, T. Grenga, L. Nista, L. Berger, H. Pitsch “LES models for turbulent hydrogen flames with convolutional neural networks”  Associazione Sezione Italiana del Combustion Institute

• H.M. Colmán, A. Attili, M.E. Mueller “Large Eddy Simulation of turbulent nonpremixed sooting flames: Presumed subfilter PDF model for finite-rate oxidation of soot”  Combustion and Flame, 112602

• K. Niemietz, L. Berger, M. Huth, A. Attili, H. Pitsch “Direct numerical simulation of flame-wall interaction at gas turbine relevant conditions”  Proceedings of the Combustion Institute 39 (2), 2209-2218

• L. Berger, M. Grinberg, B. Jürgens, P.E. Lapenna, F. Creta, A. Attili, H. Pitsch “Flame fingers and interactions of hydrodynamic and thermodiffusive instabilities in laminar lean hydrogen flames”  Proceedings of the Combustion Institute 39 (2), 1525-1534

• L. Nista, C.D.K. Schumann, T. Grenga, A. Attili, H. Pitsch; "Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows"> Proceedings of the Combustion Institute 39 (4), pp. 5279-5288

2022

• L. Berger, A. Attili, H. Pitsch; "Synergistic interactions of thermodiffusive instabilities and turbulence in lean hydrogen flames"> Combustion and Flame 244, 112254

• L. Berger, A. Attili, H. Pitsch; "Intrinsic instabilities in premixed hydrogen flames: Parametric variation of pressure, equivalence ratio, and temperature. Part 1-Dispersion relations in the linear regime"> Combustion and Flame 240, 111935

• L. Berger, A. Attili, H. Pitsch; "Intrinsic instabilities in premixed hydrogen flames: parametric variation of pressure, equivalence ratio, and temperature. Part 2–Non‐linear regime and flame speed enhancement"> Combustion and Flame 240, 111936

• Y. Wang, W. Han, A. Attili, Z. Chen; "Numerical analysis of very rich propagating spherical flames: Soot formation and its impact on the determination of laminar flame speed"> Combustion and Flame 237, 111860

• L. Berger, A. Attili, J. Wang, K. Maeda, H. Pitsch; "Development of Large-Eddy Simulation Combustion Models for Thermodiffusive Instabilities in Turbulent Hydrogen Flames"> Proceeding of the Summer Program, Center for Turbulence Research, Stanford University, 247

• L. Nista, C.K.D. Schumann, G. Scialabba, T. Grenga, A. Attili, H. Pitsch; "The influence of adversarial training on turbulence closure modeling"> AIAA SCITECH 2022 Forum, 0185

• P. Farmand, H. Nicolai, C. Schumann, A. Attili, L. Berger, T. Li, C. Geschwindner, F. di Mare, C. Hasse, B. Böhm, J. Janicka, H. Pitsch; "Numerical investigation and assessment of flamelet-based models for the prediction of pulverized solid fuel homogeneous ignition and combustion"> Combustion and Flame 235, 111693

2021

• A. Attili, R. Lamioni, L. Berger, K. Kleinheinz, P.E. Lapenna, H. Pitsch, F. Creta "The effect of pressure on the hydrodynamic stability limit of premixed flames" Proceedings of the Combustion Institute 38 (2), 1973-1981 (Distinguished paper award in the Proceeding of Combustion Institute 2020-2021)

• P.E. Lapenna, L. Berger, A. Attili, R. Lamioni, N. Fogla, H. Pitsch, F. Creta “Data-driven subfilter modelling of thermo-diffusively unstable hydrogen–air premixed flames”  Combustion Theory and Modelling 25 (6), 1064-1085

• T. Grenga, L. Nista, C. Schumann, A. N. Karimi, G. Scialabba, M. Bode, A. Attili, H. Pitsch “Predictive data driven turbulence-combustion model through Super Resolution Generative Adversarial Network”  10th European Combustion Meeting, 426-431

• L. Nista, C. Schumann, T. Grenga, A.N. Karimi, G. Scialabba, M. Bode, A. Attili, H. Pitsch “Turbulent mixing predictive model with physics-based Generative Adversarial Network”  10th European combustion meeting, 460-465

• G. D’Alessio, A. Attili, A. Cuoci, H. Pitsch, A. Parente “Unsupervised data analysis of direct numerical simulation of a turbulent flame via local principal component analysis and procustes analysis”  15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), 460-469

• A. Attili, P. Farmand, C. Schumann, S. Farazi, B. Böhm, T. Li, C. Geschwindner, J. Köser, A. Dreizler, H. Pitsch “Numerical simulations and experiments of ignition of solid particles in a laminar burner: effects of slip velocity and particle swelling”  Flow, Turbulence and Combustion 106, 515-531

• L Berger, A Attili, H Pitsch “Intrinsic Flame Instabilities in Turbulent Premixed Hydrogen Flames: A DNS Study”  APS Division of Fluid Dynamics Meeting Abstracts, M09. 008

• S. Trivedi, A. Attili, R.S. Cant “Flame-flame interactions in lean premixed methane-air flames in a slot-jet configuration”  APS Division of Fluid Dynamics (Fall) 2021, abstract id.M09.002

• A. Attili, S. Luca, D. Denker, F. Bisetti, and H. Pitsch. “Turbulent flame speed and reaction layer thickening in premixed jet flames at constant Karlovitz and increasing Reynolds numbers” Proceedings of the Combustion Institute 38 (2), 2939-2947

• D. Denker, A. Attili, M. Gauding, K. Niemietz, M. Bode, H. Pitsch "A new modeling approach for mixture fraction statistics based on dissipation elements " Proceedings of the Combustion Institute 38 (2), 2681-2689

• K.  Luo, R. Liu, Y.  Bai, A.  Attili, H. Pitsch, F. Bisetti, J. Fan "A-priori and a-posteriori studies of a direct moment closure approach for turbulent combustion using DNS data of a premixed flame " Proceedings of the Combustion Institute 38 (2), 3003-3011

• L. Goodwin, T. Hayward, P. Krishan, G. Nolan, M. Nundy, K. Ostrishko, A. Attili, S. Barranco Cárceles, E. I. Epelle, R. Gabl, E.J. Pappa, M. Stajuda, S. Zen, M. Dozier, N. Anderson, I.M. Viola, R. McQuillan, "Which factors influence the extent of indoor transmission of SARS-CoV-2? A rapid evidence review" Journal of Global Health 11

• T. Kulkarni, R. Buttay, M.H. Kasbaoui, A. Attili, F. Bisetti "Reynolds number scaling of burning rates in spherical turbulent premixed flames" Journal of Fluid Mechanics 906

• L. Berger, A. Wick, A. Attili, M.E. Mueller, H. Pitsch "Modeling subfilter soot-turbulence interactions in Large Eddy Simulation: An a priori study" Proceedings of the Combustion Institute 38 (2), 2783-27902021

• A. Hassan, T. Sayadi, V. Le Chenadec, H. Pitsch, A. Attili, "Adjoint-based sensitivity analysis of steady char burnout"Combustion Theory and Modelling 25 (1), 96-12012021

• A. Hassan, T. Sayadi, V. Le Chenadec, A. Attili, "Sensitivity analysis of an unsteady char particle combustion" Fuel 287, pp.119738

• D. Fiscaletti, O.R.H. Buxton, A. Attili "Internal layers in turbulent free-shear flows" Physical Review Fluids 6 (3), 0346122021

• T. Li, P. Farmand, C. Geschwindner, M. Greifenstein, J. Köser, C. Schumann, A. Attili, H. Pitsch, A. Dreizler, B. Böhm "Homogeneous ignition and volatile combustion of single solid fuel particles in air and oxy-fuel conditions" Fuel 291, 1201012021

2020

• A. Attili, P.  Farmand, C. Schumann, S. Farazi, B. Böhm, T. Li, C. Geschwindner, J. Köser, A. Dreizler, H. Pitsch "Numerical Simulations and Experiments of Ignition of Solid Particles in a Laminar Burner: Effects of Slip Velocity and Particle Swelling " Flow, Turbulence and Combustion (2020)

• D. Denker, A.  Attili, J. Boschung, F. Hennig, M. Gauding, M. Bode, H. Pitsch, "Dissipation element analysis of non-premixed jet flames ", Journal of Fluid Mechanics 905 (2020)

• G. D’Alessio,  A. Attili,  A. Cuoci, H. Pitsch, Heinz and A. Parente. "Analysis of Turbulent Reacting Jets via Principal Component Analysis". Data Analysis for Direct Numerical Simulations of Turbulent Combustion - From Equation-Based Analysis to Machine Learning, edited by H. Pitsch and A. Attili, Springer (2020), pp. 233-251

• D. Denker, A. Attili, H. Pitsch. "Dissipation Element Analysis of Inert and Reacting Turbulent Flows ". Data Analysis for Direct Numerical Simulations of Turbulent Combustion - From Equation-Based Analysis to Machine Learning, edited by H. Pitsch and A. Attili, Springer (2020), pp. 19-41

• G. D’Alessio, A. Attili, A. Cuoci, H. Pitsch, A. Parente"Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis" International Workshop on Soft Computing Models in Industrial and Environmental Applications, Springer (2020), pp.460-469

•  L. Berger, R. Hesse, K. Kleinheinz, M. J. Hegetschweiler, A. Attili, J. Beeckmann, G. T. Linteris, and H. Pitsch. “A DNS study of the impact of gravity on spherically expanding laminar premixed flames ”.  Comb. Flame 216 (2020), pp. 412–425. 

•  T. Falkenstein, M. Davidovic, A. Attili, M. Bode, H. Chu, S. Kang, H. Pitsch, and H. Taniguchi. “LES Modeling Study on Cycle-to-Cycle Variations in a DISI Engine”. SAE Technical Paper 2020-01-0242 (2020).

• A. Wick, A. Attili, F. Bisetti, and H. Pitsch. “ DNS-driven analysis of the flamelet/progress variable model assumptions on soot inception, growth, and oxidation in turbulent flames”.  Comb. Flame 214 (2020), pp. 437–449. 

• R. Lamioni, P. E. Lapenna, L. Berger, K. Kleinheinz, A. Attili, H. Pitsch, and F. Creta. “Pressure-induced hydrodynamic instability in premixed methane air slot flames”. Comb. Sci. Tech. 192:11 (2020), pp.1998-2009

• D. Denker, A. Attili, K. Kleinheinz, H. Pitsch  " Gradient Trajectory Analysis of the Burning Rate in Turbulent Premixed Jet Flames " Comb. Sci. Tech. 192:11 (2020), pp. 2189-2207

2019

• A. Attili and F. Bisetti. “Statistics of Scalar Dissipation and Strain/Vorticity/Scalar Gradient Alignment in Turbulent Nonpremixed Jet Flames”. Flow. Turb. Comb. (2019), pp. 1–18. 

• L. Berger, K. Kleinheinz, A. Attili, and H. Pitsch. “Characteristic Patterns of Thermal-Diffusive Unstable Planar Premixed Hydrogen Flames”. Proc. Comb. Inst. 37 (2019), pp. 1879–1886.

•  S. Farazi, A. Attili, S. Kang, and H. Pitsch. “Numerical study of coal particle ignition in air and oxy-atmosphere conditions ”. Proc. Comb. Inst. 37 (2019), pp. 2867–2874. 

• S. Farazi, J. Hinrichs, M. Davidovic, M. Falkenstein T. Bode, S. Kang, A. Attili, and H. Pitsch. “Numerical investigation of coal particle stream ignition in oxy-atmosphere”. Fuel 241 (2019), pp. 477–487.

• S. Kruse, A. Wick, P. Medwell, A. Attili, J. Beeckmann, and H. Pitsch. “ Experimental and numerical study of soot formation in counterflow diffusion flames of gasoline surrogate components”. Comb. Flame 210 (2019), pp. 159–171. 

• S. Kruse, J. Ye, Z. Sun, A. Attili, B. Dally, P. Medwell, and H. Pitsch. “Experimental investigation of soot evolution in a turbulent non-premixed prevaporized toluene flame”. Proc. Comb. Inst. 37 (2019), pp. 849–857. 

• S. Luca, A. Attili, E. Lo Schiavo, F. Creta, and F. Bisetti. “On the statistics of flame stretch in turbulent premixed jet flames in the thin reaction zone regime at varying Reynolds number”. Proc. Comb. Inst. 37 (2019), pp. 2451–2459.

2018

•  L. Berger, K. Kleinheinz, A. Attili, F Bisetti, H. Pitsch, and M. E. Mueller. “Numerically accurate computational techniques for optimal estimator analyses of multi-parameter models”. Comb. Theory Mod. 22.3 (2018), pp. 480–504. doi: 10.1080/13647830.2018.1424353.

• F. Bisetti, A. Abdelgadir, S. A. Steinmetz, A. Attili, and W. L. Roberts. “Self-similar scaling of pressurised sooting methane/air coflow flames at constant Reynolds and Grashof numbers”. Comb. Flame 196 (2018), pp. 300–313. 

• S. Luca, A. N. Al-Khateeb, A. Attili, and F. Bisetti. “Comprehensive Validation of Skeletal Mechanism for Turbulent Premixed Methane–Air Flame Simulations”. J. Prop. Power 34.1(2018), pp. 153–160. 

2017

• A. Abdelgadir, I. A. Rakha, S. A. Steinmetz, A. Attili, F. Bisetti, and W. Roberts. “Effects of hydrodynamics and mixing on soot formation and growth in laminar coflow diffusion flames at elevated pressures”. Comb. Flame 181 (2017), pp. 39–53. 

• M. Lucchesi, A. Abdelgadir, A. Attili, and F. Bisetti. “Simulation and analysis of the soot particle size distribution in a turbulent nonpremixed flame”. Comb. Flame 178 (2017), pp. 35–45.

2016

• A. Attili, F. Bisetti, M. E. Mueller, and H. Pitsch. “Effects of non-unity Lewis number of gas-phase species in turbulent nonpremixed sooting flames”. Comb. Flame 166 (2016), pp. 192–202.

• D. Fiscaletti, A. Attili, F. Bisetti, and G. Elsinga. “Scale interaction in a mixing layer. The role of the large-scale gradients”. J. Fluid Mech. 791 (2016), pp. 154–173.

• D. Fiscaletti, G. Elsinga, A. Attili, F. Bisetti, and O.R.H. Buxton. “Scale dependence of the alignment between strain rate and rotation in turbulent shear flow”. Phys. Rev. Fluids 1.6 (2016), p. 064405. 

2015

• A. Attili, F. Bisetti, M. E. Mueller, and H. Pitsch. “Damköhler number effects on soot formation and growth in turbulent nonpremixed flames”. Proc. Comb. Inst. 35 (2015). 

2014

• A. Attili, F. Bisetti, M. E. Mueller, and H. Pitsch. “Formation, growth, and transport of soot in a three-dimensional turbulent non-premixed jet flame”. Comb. Flame 161 (2014), pp. 1849–1865.

• A. Attili, J. C. Cristancho, and F. Bisetti. “Statistics of the turbulent/non-turbulent interface in a spatially developing mixing layer”. J. Turb. 15.9 (2014), pp. 555–568. 

•  F. Bisetti, A. Attili, and H. Pitsch. “Advancing predictive models for particulate formation in turbulent flames via massively parallel direct numerical simulations”. Phil. Trans. R. Soc. A 372.2022 (2014), p. 20130324. 

• K. Zhou, A. Attili, A. Alshaarawi, and F. Bisetti. “Simulation of aerosol nucleation and growth in a turbulent mixing layer”. Phys. Fluids 26 (2014), p. 065106. 

2013

• A. Attili and F. Bisetti. “Application of a robust and efficient Lagrangian particle scheme to soot transport in turbulent flames”. Comput. Fluids 84 (2013), pp. 164–175. 

• A. Attili and F. Bisetti. “Fluctuations of a passive scalar in a turbulent mixing layer”. Phys. Rev. E 88.3 (2013), p. 033013. 

2012

•  A. Attili and F. Bisetti. “Statistics and scaling of turbulence in a spatially developing mixing layer at Reλ = 250”. Phys. Fluids 24.3 (2012), p. 035109. 

Book Chapters and Research Briefs

• A. Attili, F. Bisetti, M. E. Mueller, and H. Pitsch. “Lagrangian analysis of mixing and soot transport in a turbulent jet flame”. Direct and Large-Eddy Simulation IX. ERCOFTAC Series, vol 20. Springer, 2015, pp. 503–509. 

• A. Attili, F. Bisetti, and M. E. Mueller. “DNS of soot formation and growth in turbulent non-premixed flames: Damköhler number effects and Lagrangian statistics of soot transport”. Center for Turbulence Research Proceedings of the Summer Program, Stanford University. 2012.