| Artificial intelligence in process engineering C Thon, B Finke, A Kwade, C Schilde Advanced Intelligent Systems 3 (6), 2000261, 2021 | 45 | 2021 |
| Predicting 3D particles shapes based on 2D images by using convolutional neural network K Giannis, C Thon, G Yang, A Kwade, C Schilde Powder Technology 432, 119122, 2024 | 15 | 2024 |
| Rigidly-mounted roll mill as breakage tester for characterizing fine particle breakage AC Böttcher, C Thon, G Fragnière, A Chagas, C Schilde, A Kwade Powder Technology 383, 554-563, 2021 | 14 | 2021 |
| Multi-modal framework to model wet milling through numerical simulations and artificial intelligence (part 1) C Thon, AC Böttcher, F Möhlen, M Yu, A Kwade, C Schilde Chemical Engineering Journal 449, 137794, 2022 | 8 | 2022 |
| Multi-modal framework to model wet milling through numerical simulations and artificial intelligence (part 2) C Thon, AC Böttcher, F Möhlen, M Yu, A Kwade, C Schilde Chemical Engineering Journal 450, 137947, 2022 | 5 | 2022 |
| Artificial intelligence and evolutionary approaches in particle technology C Thon, M Röhl, S Hosseinhashemi, A Kwade, C Schilde KONA Powder and Particle Journal 41, 3-25, 2024 | 4 | 2024 |
| Process insights with physics-inspired data-driven modeling-example of battery electrode processing S Hosseinhashemi, Y Zhang, C Thon, C Schilde Journal of Energy Storage 73, 109046, 2023 | 1 | 2023 |
| Dynamic Process Models for Fine Grinding and Dispersing G Fragnière, AC Böttcher, C Thon, C Schilde, A Kwade Dynamic Flowsheet Simulation of Solids Processes, 199-236, 2020 | | 2020 |
| Artificial Intelligence in Comminution C Thon, K Giannis, A Kwade, C Schilde | | |
