Heinz Pitsch

30 papers C 1Misc 1Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Efficient and Scalable AIxeleration of Reactive CFD Solvers Coupled with Deep Learning Inference on Heterogeneous Architectures.
HPC Asia Workshops
Fabian Orland, Ludovico Nista, Nick Kocher, Joris Vanvinckenroye, Heinz Pitsch, Christian Terboven
2023 J jnl
Hybrid scheme for complex flows on staggered grids and application to multiphase flows.
J. Comput. Phys.
Mathis Bode, Abhishek Deshmukh, Tobias Falkenstein, Seongwon Kang, Heinz Pitsch
2022 J jnl
A three-dimensional cell-based volume-of-fluid method for conservative simulations of primary atomization.
J. Comput. Phys.
Fabian Fröde, Temistocle Grenga, Vincent Le Chenadec, Mathis Bode, Heinz Pitsch
2022 J jnl
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data.
CoRR
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz Pitsch
2022 J jnl
Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning.
CoRR
Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch
2020 — conf
Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis.
SOCO
Giuseppe D'Alessio, Antonio Attili, Alberto Cuoci, Heinz Pitsch, Alessandro Parente
2019 — conf
Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction.
ISC Workshops
Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch
2019 J jnl
Deep learning at scale for subgrid modeling in turbulent flows.
CoRR
Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch
2019 C conf
Optimization-based fuel injection rate digitalization for combustion rate shaping.
ACC
Dennis Ritter, Metin Korkmaz, Heinz Pitsch, Dirk Abel, Thivaharan Albin
2019 J jnl
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows.
CoRR
Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, Jenia Jitsev, Heinz Pitsch
2018 — conf
Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning.
ISC Workshops
Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch
2016 — conf
Multi-scale Coupling for Predictive Injector Simulations.
JHPCS
Mathis Bode, Marco Davidovic, Heinz Pitsch
2016 J jnl
On a consistent high-order finite difference scheme with kinetic energy conservation for simulating turbulent reacting flows.
J. Comput. Phys.
Philipp Trisjono, Seongwon Kang, Heinz Pitsch
2016 — conf
Overlapping of Communication and Computation in nb3dfft for 3D Fast Fourier Transformations.
JHPCS
Jens Henrik Göbbert, Hristo Iliev, Cedrick Ansorge, Heinz Pitsch
2015 — conf
Direct Numerical Simulation of Fluid Turbulence at Extreme Scale with psOpen.
PARCO
Jens Henrik Göbbert, Michael Gauding, Cedrick Ansorge, Bernd Hentschel, Torsten W. Kuhlen, Heinz Pitsch
2015 J jnl
On the lattice Boltzmann method for multiphase flows with large density ratios.
J. Comput. Phys.
Seung Hyun Kim, Heinz Pitsch
2015 J jnl
Reactive linearized equations of perturbed compressible variables for low-Mach number variable-density flows.
J. Comput. Phys.
Christoph Schmitt, Heinz Pitsch
2013 J jnl
A monotonicity preserving conservative sharp interface flow solver for high density ratio two-phase flows.
J. Comput. Phys.
Vincent Le Chenadec, Heinz Pitsch
2013 J jnl
Combination of 3D unsplit forward and backward volume-of-fluid transport and coupling to the level set method.
J. Comput. Phys.
Vincent Le Chenadec, Heinz Pitsch
2013 — conf
Greybox modeling of the diesel combustion by use of the scalar dissipation rate.
ECC
René Zweigel, Thiva Albin, Frank J. Hesseler, B. Jochim, Heinz Pitsch, Dirk Abel
2013 J jnl
On a robust ALE method with discrete primary and secondary conservation.
J. Comput. Phys.
Seongwon Kang, Heinz Pitsch, Nahmkeon Hur
2012 J jnl
Monte Carlo-Based Approach for Simulating Nanostructured Catalytic and Electrocatalytic Systems.
Comput. Sci. Eng.
Venkatasubramanian Viswanathan, Frank Wang, Heinz Pitsch
2009 J jnl
A spectrally refined interface approach for simulating multiphase flows.
J. Comput. Phys.
Olivier Desjardins, Heinz Pitsch
2008 J jnl
Accuracy of higher-order lattice Boltzmann methods for microscale flows with finite Knudsen numbers.
J. Comput. Phys.
Seung Hyun Kim, Heinz Pitsch, Iain D. Boyd
2008 J jnl
An accurate conservative level set/ghost fluid method for simulating turbulent atomization.
J. Comput. Phys.
Olivier Desjardins, Vincent Moureau, Heinz Pitsch
2008 J jnl
Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems.
Neural Comput.
Matthias Ihme, Alison L. Marsden, Heinz Pitsch
2008 J jnl
High order conservative finite difference scheme for variable density low Mach number turbulent flows.
J. Comput. Phys.
Olivier Desjardins, Guillaume Blanquart, Guillaume Balarac, Heinz Pitsch
2007 J jnl
A ghost-fluid method for large-eddy simulations of premixed combustion in complex geometries.
J. Comput. Phys.
Vincent Moureau, P. Minot, Heinz Pitsch, Claude Bérat
2007 J jnl
An efficient semi-implicit compressible solver for large-eddy simulations.
J. Comput. Phys.
Vincent Moureau, Claude Bérat, Heinz Pitsch
2005 Misc conf
Flamelet Analysis of Turbulent Combustion.
International Conference on Computational Science (3)
Rob J. M. Bastiaans, S. M. Martin, Heinz Pitsch, Jeroen A. van Oijen, L. Philip H. de Goey