| Machine learning in chemical engineering: A perspective AM Schweidtmann, E Esche, A Fischer, M Kloft, JU Repke, S Sager, ... Chemie Ingenieur Technik 93 (12), 2029-2039, 2021 | 115 | 2021 |
| Pilot scale investigations of the removal of carbon dioxide from hydrocarbon gas streams using poly (ethylene oxide)–poly (butylene terephthalate) PolyActive™) thin film … T Brinkmann, C Naderipour, J Pohlmann, J Wind, T Wolff, E Esche, ... Journal of Membrane Science 489, 237-247, 2015 | 56 | 2015 |
| Rhodium-catalyzed hydroformylation of long-chain olefins in aqueous multiphase systems in a continuously operated miniplant T Pogrzeba, D Müller, T Hamerla, E Esche, N Paul, G Wozny, ... Industrial & Engineering Chemistry Research 54 (48), 11953-11960, 2015 | 52 | 2015 |
| Hydroformylation in microemulsions: proof of concept in a miniplant M Illner, D Müller, E Esche, T Pogrzeba, M Schmidt, R Schomäcker, ... Industrial & Engineering Chemistry Research 55 (31), 8616-8626, 2016 | 49 | 2016 |
| Computer‐aided process and plant development. A review of common software tools and methods and comparison against an integrated collaborative approach VA Merchan, E Esche, S Fillinger, G Tolksdorf, G Wozny Chemie Ingenieur Technik 88 (1‐2), 50-69, 2016 | 37 | 2016 |
| Towards demand-side management of the chlor-alkali electrolysis: Dynamic, pressure-driven modeling and model validation of the 1, 2-dichloroethane synthesis C Hoffmann, J Weigert, E Esche, JU Repke Chemical Engineering Science 214, 115358, 2020 | 32 | 2020 |
| Techno-economic evaluation of a biogas-based oxidative coupling of methane process for ethylene production AT Penteado, M Kim, HR Godini, E Esche, JU Repke Frontiers of Chemical Science and Engineering 12, 598-618, 2018 | 31 | 2018 |
| An algorithm for the identification and estimation of relevant parameters for optimization under uncertainty D Müller, E Esche, G Wozny Computers & chemical engineering 71, 94-103, 2014 | 29 | 2014 |
| Demand response potentials for the chemical industry F Klaucke, T Karsten, F Holtrup, E Esche, T Morosuk, G Tsatsaronis, ... Chemie Ingenieur Technik 89 (9), 1133-1141, 2017 | 27 | 2017 |
| Dynamic real-time optimization under uncertainty of a hydroformylation mini-plant D Müller, M Illner, E Esche, T Pogrzeba, M Schmidt, R Schomäcker, ... Computers & Chemical Engineering 106, 836-848, 2017 | 26 | 2017 |
| Design and assessment of a membrane and absorption based carbon dioxide removal process for oxidative coupling of methane A Penteado, E Esche, D Salerno, HR Godini, G Wozny Industrial & Engineering Chemistry Research 55 (27), 7473-7483, 2016 | 26 | 2016 |
| Systematic phase separation analysis of surfactant-containing systems for multiphase settler design D Müller, E Esche, T Pogrzeba, M Illner, F Leube, R Schomäcker, ... Industrial & Engineering Chemistry Research 54 (12), 3205-3217, 2015 | 25 | 2015 |
| A discrete-time scheduling model for power-intensive processes taking fatigue of equipment into consideration A Obermeier, C Windmeier, E Esche, JU Repke Chemical Engineering Science 195, 904-920, 2019 | 24 | 2019 |
| MOSAIC–Enabling Large‐Scale Equation‐Based Flow Sheet Optimization E Esche, C Hoffmann, M Illner, D Müller, S Fillinger, G Tolksdorf, H Bonart, ... Chemie Ingenieur Technik 89 (5), 620-635, 2017 | 22 | 2017 |
| Improving interoperability of engineering tools–Data exchange in plant design S Fillinger, H Bonart, W Welscher, E Esche, JU Repke Chemie ingenieur technik 89 (11), 1454-1463, 2017 | 21 | 2017 |
| Biogas as a renewable feedstock for green ethylene production via oxidative coupling of methane: Preliminary feasibility study AT Penteado, M Kim, HR Godini, E Esche, JU Repke Chemical Engineering Transactions 61, 589-594, 2017 | 21 | 2017 |
| Synthesis and granulation of a 5A zeolite-based molecular sieve and adsorption equilibrium of the oxidative coupling of methane gases L Garcı́a, YA Poveda, M Khadivi, G Rodriguez, O Görke, E Esche, ... Journal of Chemical & Engineering Data 62 (4), 1550-1557, 2017 | 21 | 2017 |
| Adsorption separation of oxidative coupling of methane effluent gases. Mini-plant scale experiments and modeling L García, YA Poveda, G Rodríguez, E Esche, HR Godini, G Wozny, ... Journal of natural gas science and engineering 61, 106-118, 2019 | 20 | 2019 |
| Architectures for neural networks as surrogates for dynamic systems in chemical engineering E Esche, J Weigert, GB Rihm, J Göbel, JU Repke Chemical Engineering Research and Design 177, 184-199, 2022 | 19 | 2022 |
| Dynamic model of chloralkali membrane process T Budiarto, E Esche, JU Repke, E Leksono Procedia engineering 170, 473-481, 2017 | 19 | 2017 |
