| SPT-NRTL: A physics-guided machine learning model to predict thermodynamically consistent activity coefficients B Winter, C Winter, T Esper, J Schilling, A Bardow Fluid Phase Equilibria 568, 113731, 2023 | 19 | 2023 |
| PCP-SAFT parameters of pure substances using large experimental databases T Esper, G Bauer, P Rehner, J Gross Industrial & Engineering Chemistry Research 62 (37), 15300-15310, 2023 | 8 | 2023 |
| Understanding the language of molecules: Predicting pure component parameters for the PC-SAFT equation of state from SMILES B Winter, P Rehner, T Esper, J Schilling, A Bardow arXiv preprint arXiv:2309.12404, 2023 | 1 | 2023 |
| Predicting the relative static permittivity: a group contribution method based on perturbation theory L Rueben, J Schilling, P Rehner, S Müller, T Esper, A Bardow, J Gross Journal of chemical & engineering data 69 (2), 414-426, 2023 | 1 | 2023 |
| Störungstheoretische Modellierung der statischen Permittivität: Güte und Grenzen der Anwendbarkeit L Rueben, J Schilling, S Müller, T Esper, A Bardow, J Gross Thermodynamik-Kolloquium 2022, 2022 | | 2022 |
