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Stefan Posch
Stefan Posch
Tenure Track Professorship at TU Graz
Verified email at ivt.tugraz.at
Title
Cited by
Cited by
Year
Data vs. physics: The apparent Pareto front of physics-informed neural networks
FM Rohrhofer, S Posch, C Gößnitzer, BC Geiger
IEEE Access 11, 86252-86261, 2023
100*2023
Understanding the difficulty of training physics-informed neural networks on dynamical systems
FM Rohrhofer, S Posch, C Gößnitzer, BC Geiger
arXiv preprint arXiv:2203.13648 162, 2022
60*2022
Optimal design and operation of maritime energy systems based on renewable methanol and closed carbon cycles
B Thaler, FM Kanchiralla, S Posch, G Pirker, A Wimmer, S Brynolf, ...
Energy Conversion and Management 269, 116064, 2022
522022
Hybrid model predictive control of renewable microgrids and seasonal hydrogen storage
B Thaler, S Posch, A Wimmer, G Pirker
International Journal of Hydrogen Energy 48 (97), 38125-38142, 2023
442023
Turbulent combustion modeling for internal combustion engine CFD: A review
S Posch, C Gößnitzer, M Lang, R Novella, H Steiner, A Wimmer
Progress in Energy and Combustion Science 106, 101200, 2025
362025
Detection of knocking combustion using the continuous wavelet transformation and a convolutional neural network
A Kefalas, AB Ofner, G Pirker, S Posch, BC Geiger, A Wimmer
Energies 14 (2), 439, 2021
282021
Knock detection in combustion engine time series using a theory-guided 1-D convolutional neural network approach
AB Ofner, A Kefalas, S Posch, BC Geiger
IEEE/ASME Transactions on Mechatronics 27 (5), 4101-4111, 2022
242022
Development of a tool for the preliminary design of large engine prechambers using machine learning approaches
S Posch, H Winter, J Zelenka, G Pirker, A Wimmer
Applied Thermal Engineering 191, 116774, 2021
222021
In-cylinder pressure reconstruction from engine block vibrations via a branched convolutional neural network
AB Ofner, A Kefalas, S Posch, G Pirker, BC Geiger
Mechanical systems and signal processing 183, 109640, 2023
182023
Estimation of combustion parameters from engine vibrations based on discrete wavelet transform and gradient boosting
A Kefalas, AB Ofner, G Pirker, S Posch, BC Geiger, A Wimmer
Sensors 22 (11), 4235, 2022
162022
Thermal loss analysis of hermetic compressors using numerical simulation
S Posch, J Hopfgartner, L Dür, M Eichinger, S Stangl, R Almbauer
Applied Thermal Engineering 130, 1580-1589, 2018
142018
Numerical analysis of a hermetic reciprocating compressor oil pump system
S Posch, J Hopfgartner, E Berger, B Zuber, P Schöllauf, R Almbauer
International journal of refrigeration 85, 135-143, 2018
132018
Reduction of the suction losses through reed valves in hermetic reciprocating compressors using a magnet coil
J Hopfgartner, S Posch, B Zuber, R Almbauer, K Krischan, S Stangl
IOP conference series: materials science and engineering 232 (1), 012034, 2017
112017
Transient cycle simulation of domestic appliances and experimental validation
M Heimel, E Berger, S Posch, A Stupnik, J Hopfgartner, R Almbauer
International Journal of Refrigeration 69, 28-41, 2016
112016
Development of a virtual sensor to predict cylinder pressure signal based on a knock sensor signal
S Posch, G Pirker, A Kefalas, A Wimmer
SAE Technical Paper, 2022
102022
Approximating families of sharp solutions to Fisher's equation with physics-informed neural networks
FM Rohrhofer, S Posch, C Gößnitzer, BC Geiger
Computer Physics Communications 307, 109422, 2025
92025
Thermal analysis of a hermetic reciprocating compressor using numerical methods
S Posch, J Hopfgartner, M Heimel, E Berger, R Almbauer, S Stangl
92016
Transient 1D heat exchanger model for the simulation of domestic cooling cycles working with R600a
E Berger, S Posch, M Heimel, R Almbauer, M Eichinger, A Stupnik
Science and Technology for the Built Environment 21 (7), 1010-1017, 2015
92015
Modeling cycle-to-cycle variations of a spark-ignited gas engine using artificial flow fields generated by a variational autoencoder
S Posch, C Gößnitzer, AB Ofner, G Pirker, A Wimmer
Energies 15 (7), 2325, 2022
82022
Fluid flow in the oil pumping system of a hermetic compressor
S Posch, E Berger, M Heimel, J Hopfgartner, R Almbauer, P Schöllauf
IOP Conference Series: Materials Science and Engineering 90 (1), 012028, 2015
82015
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