| Carbon nanofibres-supported KCoMo catalysts for syngas conversion into higher alcohols HT Luk, T Forster, C Mondelli, S Siol, D Curulla-Ferré, JA Stewart, ... Catalysis Science & Technology 8 (1), 187-200, 2018 | 32 | 2018 |
| Algebraic surrogate‐based process optimization using Bayesian symbolic learning T Forster, D Vázquez, G Guillén‐Gosálbez AIChE Journal 69 (8), e18110, 2023 | 7 | 2023 |
| Modeling of bioprocesses via MINLP-based symbolic regression of S-system formalisms T Forster, D Vázquez, MN Cruz-Bournazou, A Butté, G Guillén-Gosálbez Computers & Chemical Engineering 170, 108108, 2023 | 6 | 2023 |
| Global optimization of symbolic surrogate process models based on Bayesian learning T Forster, D Vázquez, G Guillé-Gosálbez Computer Aided Chemical Engineering 52, 1241-1246, 2023 | 1 | 2023 |
| Machine learning uncovers analytical kinetic models of bioprocesses T Forster, D Vázquez, C Müller, G Guillén-Gosálbez Chemical Engineering Science 300, 120606, 2024 | | 2024 |
| Algebraic surrogate-based flexibility analysis of process units with complicating process constraints T Forster, D Vázquez, IF Moreno-Palancas, G Guillén-Gosálbez Computers & Chemical Engineering 184, 108630, 2024 | | 2024 |
| Flexibility Analysis Using Surrogate Models Generated via Symbolic Regression T Forster, D Vázquez, IF Moreno-Palancas, G Guillén-Gosálbez Computer Aided Chemical Engineering 53, 2791-2796, 2024 | | 2024 |
| Hybrid Modeling of Bioprocesses Based on a Kinetic Canonical Formalism T Forster, D Vázquez, MNC Bournazou, A Butté, G Guillén-Gosálbez 2022 AIChE Annual Meeting, 2022 | | 2022 |
