On the apparent Pareto front of physics-informed neural networks FM Rohrhofer, S Posch, C Gößnitzer, BC Geiger IEEE Access, 2023 | 54* | 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 | 36* | 2022 |
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 | 20 | 2021 |
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 | 19 | 2022 |
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 | 16 | 2022 |
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 | 16 | 2021 |
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 | 14 | 2018 |
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 | 12 | 2023 |
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 | 11 | 2018 |
Thermal analysis of a hermetic reciprocating compressor using numerical methods S Posch, J Hopfgartner, M Heimel, E Berger, R Almbauer, S Stangl | 10 | 2016 |
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 | 9 | 2017 |
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 | 9 | 2016 |
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 | 8 | 2022 |
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 | 8 | 2015 |
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 | 8 | 2015 |
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 | 7 | 2023 |
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 | 7 | 2022 |
A numerical investigation of the oil pump suction behaviour in a hermetic reciprocating compressor S Posch, J Hopfgartner, M Heimel, E Berger, R Almbauer, P Schöllauf | 7 | 2016 |
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 | 6 | 2022 |
A numerical friction loss analysis of the journal bearings in a hermetic reciprocating compressor S Posch, J Hopfgartner, M Heimel, E Berger, R Almbauer, P Schöllauf | 6 | 2016 |