Flamelet Analysis of Turbulent Combustion. - Rob J. M. Bastiaans; S. M. Martin; Heinz Pitsch; Jeroen A. van Oijen; L. Philip H. de Goey (International Conference on Computational Science (3), 2005)

An efficient semi-implicit compressible solver for large-eddy simulations. - Vincent Moureau; Claude Bérat; Heinz Pitsch (J. Comput. Phys., 2007)

A ghost-fluid method for large-eddy simulations of premixed combustion in complex geometries. - Vincent Moureau; P. Minot; Heinz Pitsch; Claude Bérat (J. Comput. Phys., 2007)

High order conservative finite difference scheme for variable density low Mach number turbulent flows. - Olivier Desjardins; Guillaume Blanquart; Guillaume Balarac; Heinz Pitsch (J. Comput. Phys., 2008)

An accurate conservative level set/ghost fluid method for simulating turbulent atomization. - Olivier Desjardins; Vincent Moureau; Heinz Pitsch (J. Comput. Phys., 2008)

Accuracy of higher-order lattice Boltzmann methods for microscale flows with finite Knudsen numbers. - Seung Hyun Kim; Heinz Pitsch; Iain D. Boyd (J. Comput. Phys., 2008)

Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems. - Matthias Ihme; Alison L. Marsden; Heinz Pitsch (Neural Comput., 2008)

A spectrally refined interface approach for simulating multiphase flows. - Olivier Desjardins; Heinz Pitsch (J. Comput. Phys., 2009)

Monte Carlo-Based Approach for Simulating Nanostructured Catalytic and Electrocatalytic Systems. - Venkatasubramanian Viswanathan; Frank Wang; Heinz Pitsch (Comput. Sci. Eng., 2012)

Greybox modeling of the diesel combustion by use of the scalar dissipation rate. - René Zweigel; Thiva Albin; Frank J. Hesseler; B. Jochim; Heinz Pitsch; Dirk Abel (ECC, 2013)

Combination of 3D unsplit forward and backward volume-of-fluid transport and coupling to the level set method. - Vincent Le Chenadec; Heinz Pitsch (J. Comput. Phys., 2013)

A monotonicity preserving conservative sharp interface flow solver for high density ratio two-phase flows. - Vincent Le Chenadec; Heinz Pitsch (J. Comput. Phys., 2013)

On a robust ALE method with discrete primary and secondary conservation. - Seongwon Kang; Heinz Pitsch; Nahmkeon Hur (J. Comput. Phys., 2013)

Direct Numerical Simulation of Fluid Turbulence at Extreme Scale with psOpen. - Jens Henrik Göbbert; Michael Gauding; Cedrick Ansorge; Bernd Hentschel 001; Torsten W. Kuhlen; Heinz Pitsch (PARCO, 2015)

On the lattice Boltzmann method for multiphase flows with large density ratios. - Seung Hyun Kim; Heinz Pitsch (J. Comput. Phys., 2015)

Reactive linearized equations of perturbed compressible variables for low-Mach number variable-density flows. - Christoph Schmitt 001; Heinz Pitsch (J. Comput. Phys., 2015)

Multi-scale Coupling for Predictive Injector Simulations. - Mathis Bode; Marco Davidovic; Heinz Pitsch (JHPCS, 2016)

Overlapping of Communication and Computation in nb3dfft for 3D Fast Fourier Transformations. - Jens Henrik Göbbert; Hristo Iliev; Cedrick Ansorge; Heinz Pitsch (JHPCS, 2016)

On a consistent high-order finite difference scheme with kinetic energy conservation for simulating turbulent reacting flows. - Philipp Trisjono; Seongwon Kang; Heinz Pitsch (J. Comput. Phys., 2016)

Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning. - Mathis Bode; Michael Gauding; Jens Henrik Göbbert; Baohao Liao; Jenia Jitsev; Heinz Pitsch (ISC Workshops, 2018)

Optimization-based fuel injection rate digitalization for combustion rate shaping. - Dennis Ritter; Metin Korkmaz; Heinz Pitsch; Dirk Abel; Thivaharan Albin (ACC, 2019)

Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction. - Mathis Bode; Michael Gauding; Konstantin Kleinheinz; Heinz Pitsch (ISC Workshops, 2019)

Deep learning at scale for subgrid modeling in turbulent flows. - Mathis Bode; Michael Gauding; Konstantin Kleinheinz; Heinz Pitsch (CoRR, 2019)

Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows. - Mathis Bode; Michael Gauding; Zeyu Lian; Dominik Denker; Marco Davidovic; Konstantin Kleinheinz; Jenia Jitsev; Heinz Pitsch (CoRR, 2019)

Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis. - Giuseppe D'Alessio; Antonio Attili; Alberto Cuoci; Heinz Pitsch; Alessandro Parente (SOCO, 2020)

Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data. - Mathis Bode; Michael Gauding; Dominik Goeb; Tobias Falkenstein; Heinz Pitsch (CoRR, 2022)

A three-dimensional cell-based volume-of-fluid method for conservative simulations of primary atomization. - Fabian Fröde; Temistocle Grenga; Vincent Le Chenadec; Mathis Bode; Heinz Pitsch (J. Comput. Phys., 2022)

Hybrid scheme for complex flows on staggered grids and application to multiphase flows. - Mathis Bode; Abhishek Deshmukh; Tobias Falkenstein; Seongwon Kang; Heinz Pitsch (J. Comput. Phys., 2023)

Efficient and Scalable AIxeleration of Reactive CFD Solvers Coupled with Deep Learning Inference on Heterogeneous Architectures. - Fabian Orland; Ludovico Nista; Nick Kocher; Joris Vanvinckenroye; Heinz Pitsch; Christian Terboven (HPC Asia Workshops, 2025)