| AI-Driven Soft-Sensor for Stirred Media Mills for Real-Time Process Control |
C. Thon, M. Lahmann, H. D. Munyabuhoro, S. Kausche, A. Kwade, C. Kirches, C. Schilde |
Advanced Powder Technology, Volume 36, Issue 9, September 2025, 105007, https://doi.org/10.1016/j.apt.2025.105007 |
| Control strategies for the selective precipitation of CaCO3 from multi-ion solutions |
C. Hegde, A. Voigt, K. Sundmacher |
ChemRxiv, 2025, v1, doi.org/10.26434/chemrxiv-2025-vqllg |
| Closed-Form Solutions for Control of Calcium Carbonate Precipitation |
N. Bajcinca, B. Heydaryan Manesh, M. Al Khatib, M. Babazadeh, and K. Sundmacher |
ChemRxiv, 2025, v1, doi:10.26434/chemrxiv-2025-hg5dt |
| Tailings as a Source for Generating valuable Magnesium and Calcium Carbonates by Leaching and Carbonization |
V. Bächle, C. Hegde, A. Voigt, K. Sundmacher, and M. Gleiß |
ChemRxiv, 2025. Preprint: doi:10.26434/chemrxiv-2025-cjxfm |
| Characterization of the dynamic behavior of a stirred liquid-liquid system for process control |
C. Bliatsiou, J. Villwock, D. Topalovic, S. Knorn, M. Kraume |
Chemical Engineering and Technology 48(2):e202400371 (2025) doi:10.1002/ceat.202400371 |
| Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models |
C. R. Johnson, S. de Vries, K. Wohlgemuth |
Computers & Chemical Engineering, Volume 205, Part 1, 1 February 2026, 109456, https://doi.org/10.1016/j.compchemeng.2025.109456 |
| Evolutionary Algorithms for Spatial Control of Gas-Solid Fluidized Beds |
P. Pandey, S. Mostaghim & B. van Wachem |
GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Pages 883 - 886, https://doi.org/10.1145/3712255.3726670 |
| A Control Theory Informed Machine Learning-Based Modelling and Monitoring of Nanoparticle Generation Process |
D. Cuturic, J.V. Weidemann, C. Louen, F.E. Kruis, S.X.. Ding |
IEEE Transactions on Industrial Informatics, 2025, 1-11, doi: 10.1109/TII.2025.3576870 |
| Online Model-Adaptation for an Uncertain Liquid-Liquid Mixer System |
D. Topalovic, C. Bliatsiou, J. Villwock, M. Kraume, S. Knorn |
IFAC-PapersOnLine, 2025, 59, 1, 181-186, doi.org/10.1016/j.ifacol.2025.03.032 |
| On Identifiability and Model Validation of a Population Balance Model for Liquid-Liquid-Mixing |
T. Wilms, D. Topalovic, C. Bliatsiou, J. Villwock, M. Kraume, A. Bück, S. Knorn |
IFAC-PapersOnLine, 2025, 59, 1, 187-192, doi.org/10.1016/j.ifacol.2025.03.033 |
| Robust Predictive Control for NARX Models from Input-Output Data |
A. Azarbahram, M. Al Khatib, V. Mishra, M. Thommes, and N. Bajcinca |
IFAC-PapersOnLine, Volume 59, Issue 6, 2025, Pages 13-18, https://doi.org/10.1016/j.ifacol.2025.07.114 |
| Temperature-Driven Strategy for Engineering of Al-Doped ZnO Mesocrystals’ Hierarchical Architecture |
G. Yang, M. K. Jiokeng Dongmo, S. Buchheiser, T. Meurer, and H. Nirschl |
Industrial & Engineering Chemistry Research 2025, 64, 41, 19908-19923, 10.1021/acs.iecr.5c02055 |
| Proof of a LOD prediction model with orthogonal PAT methods in continuous wet granulation and drying |
K. Kiricenko, S. Klinken-Uth, and P. Kleinebudde |
Journal of Pharmaceutical Sciences, 2025, 114, 1, 176–184, doi.org/10.1016/j.xphs.2024.07.008 |
| Penetration depth and effective sample size characterization of UV/Vis radiation into pharmaceutical tablets |
R. Brands, L. Fuchs, J.M. Seyffer, N. Bajcinca, J. Bartsch, U.A. Peuker, V. Schmidt, M. Thommes |
Journal of Pharmaceutical Sciences, Volume 114, Issue 12, December 2025, 103889, https://doi.org/10.1016/j.xphs.2025.103889 |
| Prior Model Identification for Stochastic Optimal Control of Continuous Aqueous Two-Phase Flotation |
K. Baumgärtner, K. C. Lohfink, H. Nirschl, and M. Diehl |
Journal of Process Control, Volume 155, November 2025, 103524, https://doi.org/10.1016/j.jprocont.2025.103524 |
| Stereological 3D modeling of nano-scale catalyst particles using TEM projections |
L. Fuchs, K. Wein, J. Friedland, O. Furat, R. Güttel, V. Schmidt |
Machine Learning: Science and Technology, Volume 6, Number 3, 10.1088/2632-2153/ade92d |
| A novel broadband elastic light scattering system for the determination of nanoparticle size distributions in liquid dispersions |
S. Buchstaller, F. J. T. Huber. |
Measurement, Volume 263, 3 March 2026, 120102, https://doi.org/10.1016/j.measurement.2025.120102 |
| qpBAMM: a parallelizable ADMM approach for block-structured quadratic programs. Optimization Online |
M. Lahmann, C. Kirches, and M. T. Köhler |
Optimizaation Online, 2025/04/01, https://optimization-online.org/?p=29779 |
| A Step Towards Real-Time Release Testing of Pharmaceutical Tablets: Utilization of CIELAB Color Space |
R. Brands, T. Nam Le, J. Bartsch, M. Thommes |
Pharmaceutics 2025, 17, 311, https://doi.org/10.3390/pharmaceutics17030311 |
| Quantitative characterization of hydrophobic agglomeration at different mixing intensities using a copula-based probabilistic modeling approach |
N. Eiermann, O. Furat, J. Nicklas, U.A. Peuker, V. Schmidt |
Powder Technology, 2025, 460, 120907, doi.org/10.1016/j.powtec.2025.120907 |
| Influence of the particle morphology on the spray characteristics in low-pressure cold gas process |
Y. Sinnwell, A. Maksakov, S. Palis & S. Antonyuk |
Powder Technology, 2025, 464, 121084, doi.org/10.1016/j.powtec.2025.121084 |
| Stochastic modeling of particle structures in spray fluidized bed agglomeration using methods from machine learning |
L. Fuchs, S. Weber, J. Men, N. Eiermann, O. Furat, A. Bück, V. Schmidt |
Powder Technology, Volume 467, 15 January 2026, 121475, https://doi.org/10.1016/j.powtec.2025.121475 |
| Model-based optimization of process parameters in high-energy impact additive manufacturing processes |
T. Wilhelm, L. Fuchs, A. Maksakov, Y. Sinnwell, S. Antonyuk, S. Palis, V. Schmidt |
Preprint: OPARU (2025), doi.org/10.18725/OPARU-55936 |
| Dynamic modeling of ultrafine particle classification in tubular bowl centrifuges |
S. A. Hiremath, M. Gleiß, and N. Bajcinca |
Preprint: Zenodo, 2025, v1, doi:10.5281/zenodo.15118387 |
| Bayesian Optimization with Lower Confidence Bounds for Minimization Problems with Known Outer Structure |
K. Baumgärtner and M. Diehl |
Preprint: arXiv:2503.14015 (2025), doi.org/10.48550/arXiv.2503.14015 |
| Statistical learning of structure-property relationships for transport in porous media, using hybrid AI modeling |
S. Hosseinhashemi, P. Rieder, O. Furat, B. Prifling, C. Wu, C. Thon, V. Schmidt, C. Schilde |
Preprint: arXiv:2503.21560 (2025), doi:10.48550/arXiv.2503.21560 |
| The impact of the feed rate and the binder concentration on the morphology of spray-dried alumina–polymer nanocomposites |
R. Mitra, L. Fuchs, O. Furat, Y. Sinnwell, S. Antonyuk |
Processes, 2025, 13(6), 1643, doi.org/10.3390/pr13061643 |
| A mechanistic process model for aqueous two-phase flotation: Insights into enzyme transport mechanisms |
K. C. Lohfink, H. Nirschl & F. Rhein |
Separation and Purification Technology 133100 (2025) doi:10.1016/j.seppur.2025.133100 |
| Transformer and Mixture-of-Experts (MoE) in process engineering: A hierarchical approach to autonomous process development |
C. Thon, T. Xu, C. Schilde |
Submitted to Advanced Intelligent Systems (Wiley). (2025) |
| Transformer models and their applications in process engineering |
C. Thon, C. Hauch, C. Hermann, C. Schilde |
Submitted to Advanced Powder Technology (Elsevier). (2025) |
| From Experiment Design to Data-Driven Modeling of Powder Compaction Process |
R. Brands, V. Mishra, J. Bartsch, M. Al Khatib, M. Thommes, and N. Bajcinca |
Systems & Control Transactions, Volume 4 (2025), https://doi.org/10.69997/sct.101076 |
| Microstructure simulation to predict the influence of particle properties on permeability of porous media |
M. Gleiß, P. Wendling, J. S. Curtis, and H. Nirschl |
Transport in Porous Media, Volume 153, Number 18, 2026, https://doi.org/10.1007/s11242-025-02267-0 |
| Adaptive data-driven predictive control for MIMO NARX systems: An application to tableting process |
M. Al Khatib, V. Mishra, A. Azarbahram, J. Bartsch, N. Bajcinca, and M. Thommes |
Zenodo (2025). DOI: 10.5281/zenodo.15117747 |
| Software for online bubble detection, determining bubble statistics, control of input parameters, and control of fluidized beds |
B. van Wachem, C. Nübel, P. B. Pandey, & S. Mostaghim |
Zenodo, 2025, v1, doi.org/10.5281/zenodo.15013538 |
| Bubble dynamics data for oscillating gas flow as inlet to a quasi(pseudo) 2D fluidized bed [Data set] |
P. Pandey, C. Nübel, S. Mostaghim & B. van Wachem |
Zenodo. https://doi.org/10.5281/zenodo.15102957 |
| Moving horizon estimation for Al-doped ZnO nanoparticle synthesis: an online UV-Vis spectroscopy approach |
G. Yang, M. K. Jiokeng Dongmo, T. Meurer, and H. Nirschl |
nano select, Volume 6, Issue 12, December 2025, e70044, https://doi.org/10.1002/nano.70044 |
