Heinz Pitsch

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 13

Top Topics

Simulation Data

Lattice Boltzmann

Top Venues

J. Comput. Phys.

Publications

Mathis Bode, Abhishek Deshmukh, Tobias Falkenstein, Seongwon Kang, Heinz Pitsch
Hybrid scheme for complex flows on staggered grids and application to multiphase flows. J. Comput. Phys. 474 (2023)
Fabian Fröde, Temistocle Grenga, Vincent Le Chenadec, Mathis Bode, Heinz Pitsch
A three-dimensional cell-based volume-of-fluid method for conservative simulations of primary atomization. J. Comput. Phys. 465 (2022)
Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch
Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning. CoRR (2022)
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz Pitsch
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data. CoRR (2022)
Giuseppe D'Alessio, Antonio Attili, Alberto Cuoci, Heinz Pitsch, Alessandro Parente
Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis. SOCO (2020)
Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, Jenia Jitsev, Heinz Pitsch
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows. CoRR (2019)
Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch
Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction. ISC Workshops (2019)
Mathis Bode, Michael Gauding, Konstantin Kleinheinz, Heinz Pitsch
Deep learning at scale for subgrid modeling in turbulent flows. CoRR (2019)
Dennis Ritter, Metin Korkmaz, Heinz Pitsch, Dirk Abel, Thivaharan Albin
Optimization-based fuel injection rate digitalization for combustion rate shaping. ACC (2019)
Mathis Bode, Michael Gauding, Jens Henrik Göbbert, Baohao Liao, Jenia Jitsev, Heinz Pitsch
Towards Prediction of Turbulent Flows at High Reynolds Numbers Using High Performance Computing Data and Deep Learning. ISC Workshops (2018)
Mathis Bode, Marco Davidovic, Heinz Pitsch
Multi-scale Coupling for Predictive Injector Simulations. JHPCS (2016)
Philipp Trisjono, Seongwon Kang, Heinz Pitsch
On a consistent high-order finite difference scheme with kinetic energy conservation for simulating turbulent reacting flows. J. Comput. Phys. 327 (2016)
Jens Henrik Göbbert, Hristo Iliev, Cedrick Ansorge, Heinz Pitsch
Overlapping of Communication and Computation in nb3dfft for 3D Fast Fourier Transformations. JHPCS (2016)
Jens Henrik Göbbert, Michael Gauding, Cedrick Ansorge, Bernd Hentschel, Torsten W. Kuhlen, Heinz Pitsch
Direct Numerical Simulation of Fluid Turbulence at Extreme Scale with psOpen. PARCO (2015)
Seung Hyun Kim, Heinz Pitsch
On the lattice Boltzmann method for multiphase flows with large density ratios. J. Comput. Phys. 303 (2015)
Christoph Schmitt, Heinz Pitsch
Reactive linearized equations of perturbed compressible variables for low-Mach number variable-density flows. J. Comput. Phys. 281 (2015)
Vincent Le Chenadec, Heinz Pitsch
Combination of 3D unsplit forward and backward volume-of-fluid transport and coupling to the level set method. J. Comput. Phys. 233 (2013)
Vincent Le Chenadec, Heinz Pitsch
A monotonicity preserving conservative sharp interface flow solver for high density ratio two-phase flows. J. Comput. Phys. 249 (2013)
René Zweigel, Thiva Albin, Frank J. Hesseler, B. Jochim, Heinz Pitsch, Dirk Abel
Greybox modeling of the diesel combustion by use of the scalar dissipation rate. ECC (2013)
Seongwon Kang, Heinz Pitsch, Nahmkeon Hur
On a robust ALE method with discrete primary and secondary conservation. J. Comput. Phys. 254 (2013)
Venkatasubramanian Viswanathan, Frank Wang, Heinz Pitsch
Monte Carlo-Based Approach for Simulating Nanostructured Catalytic and Electrocatalytic Systems. Comput. Sci. Eng. 14 (2) (2012)
Olivier Desjardins, Heinz Pitsch
A spectrally refined interface approach for simulating multiphase flows. J. Comput. Phys. 228 (5) (2009)
Olivier Desjardins, Guillaume Blanquart, Guillaume Balarac, Heinz Pitsch
High order conservative finite difference scheme for variable density low Mach number turbulent flows. J. Comput. Phys. 227 (15) (2008)
Seung Hyun Kim, Heinz Pitsch, Iain D. Boyd
Accuracy of higher-order lattice Boltzmann methods for microscale flows with finite Knudsen numbers. J. Comput. Phys. 227 (19) (2008)
Matthias Ihme, Alison L. Marsden, Heinz Pitsch
Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems. Neural Comput. 20 (2) (2008)
Olivier Desjardins, Vincent Moureau, Heinz Pitsch
An accurate conservative level set/ghost fluid method for simulating turbulent atomization. J. Comput. Phys. 227 (18) (2008)
Vincent Moureau, P. Minot, Heinz Pitsch, Claude Bérat
A ghost-fluid method for large-eddy simulations of premixed combustion in complex geometries. J. Comput. Phys. 221 (2) (2007)
Vincent Moureau, Claude Bérat, Heinz Pitsch
An efficient semi-implicit compressible solver for large-eddy simulations. J. Comput. Phys. 226 (2) (2007)
Rob J. M. Bastiaans, S. M. Martin, Heinz Pitsch, Jeroen A. van Oijen, L. Philip H. de Goey
Flamelet Analysis of Turbulent Combustion. International Conference on Computational Science (3) (2005)