| A hybrid dynamic model for the prediction of molten iron and slag quality indices of a large-scale blast furnace P Azadi, J Winz, E Leo, R Klock, S Engell Computers & Chemical Engineering 156, 107573, 2022 | 33 | 2022 |
| Surrogate modeling of fugacity coefficients using adaptive sampling C Nentwich, J Winz, S Engell Industrial & Engineering Chemistry Research 58 (40), 18703-18716, 2019 | 23 | 2019 |
| Development of a Dynamic Gray‐Box Model of a Fermentation Process for Spore Production J Winz, S Assawajaruwan, S Engell Chemie Ingenieur Technik 95 (7), 1154-1164, 2023 | 6 | 2023 |
| Reliable nonlinear dynamic gray-box modeling by regularized training data estimation and sensitivity analysis J Winz, S Engell IFAC-PapersOnLine 55 (7), 86-93, 2022 | 5 | 2022 |
| Optimization based sampling for gray-box modeling using a modified upper confidence bound acquisition function J Winz, S Engell Computer Aided Chemical Engineering 50, 953-958, 2021 | 5 | 2021 |
| Surrogate Modeling of Thermodynamic Equilibria: Applications, Sampling and Optimization J Winz, C Nentwich, S Engell Chemie Ingenieur Technik 93 (12), 1898-1906, 2021 | 2 | 2021 |
| A methodology for gray-box modeling of nonlinear ODE systems J Winz, S Engell Computer Aided Chemical Engineering 51, 1483-1488, 2022 | 1 | 2022 |
| Data-efficient surrogate modeling of thermodynamic equilibria using Sobolev training, data augmentation and adaptive sampling J Winz, S Engell Chemical Engineering Science, 120461, 2024 | | 2024 |
| Overcoming the modeling bottleneck: A methodology for dynamic gray-box modeling with optimized training data J Winz, F Fromme, S Engell Journal of Process Control 130, 103089, 2023 | | 2023 |
| Supporting Hyperparameter Optimization in Adaptive Sampling Methods J Winz, F Fromme, S Engell Computer Aided Chemical Engineering 49, 835-840, 2022 | | 2022 |
