Crystal growth kinetics of an industrial active pharmaceutical ingredient: Implications of different representations of supersaturation and simultaneous growth mechanisms GL Quilló, S Bhonsale, B Gielen, JF Van Impe, A Collas, C Xiouras Crystal Growth & Design 21 (9), 5403-5420, 2021 | 23 | 2021 |
Optimal experiment design under parametric uncertainty: A comparison of a sensitivities based approach versus a polynomial chaos based stochastic approach P Nimmegeers, S Bhonsale, D Telen, J Van Impe Chemical Engineering Science 221, 115651, 2020 | 19 | 2020 |
Global sensitivity analysis of a spray drying process S Bhonsale, CA Muñoz López, J Van Impe Processes 7 (9), 562, 2019 | 13 | 2019 |
An analysis of uncertainty propagation methods applied to breakage population balance S Bhonsale, D Telen, B Stokbroekx, J Van Impe Processes 6 (12), 255, 2018 | 12 | 2018 |
Pomodoro: A novel toolkit for dynamic (multiobjective) optimization, and model based control and estimation S Bhonsale, D Telen, D Vercammen, M Vallerio, J Hufkens, ... IFAC-PapersOnLine 51 (2), 719-724, 2018 | 12 | 2018 |
Solace: An open source package for nolinear model predictive control and state estimation for (bio) chemical processes SS Bhonsale, M Vallerio, D Telen, D Vercammen, F Logist, J van Impe Computer Aided Chemical Engineering 38, 1971-1976, 2016 | 12 | 2016 |
Numerical simulation of particle dynamics in a spiral jet mill via coupled CFD-DEM S Bhonsale, L Scott, M Ghadiri, J Van Impe Pharmaceutics 13 (7), 937, 2021 | 11 | 2021 |
Assessment of the parameter identifiability of population balance models for air jet mills SS Bhonsale, B Stokbroekx, J Van Impe Computers & Chemical Engineering 143, 107056, 2020 | 10 | 2020 |
Manifold learning and clustering for automated phase identification and alignment in data driven modeling of batch processes CA Muñoz López, S Bhonsale, K Peeters, JFM Van Impe Frontiers in Chemical Engineering 2, 582126, 2020 | 9 | 2020 |
Optimal experiment design for dynamic processes S Bhonsale, P Nimmegeers, S Akkermans, D Telen, I Stamati, F Logist, ... Simulation and Optimization in Process Engineering, 243-271, 2022 | 7 | 2022 |
Comparison of numerical solution strategies for population balance model of continuous cone mill SS Bhonsale, D Telen, B Stokbroekx, J Van Impe Powder Technology 345, 739-749, 2019 | 7 | 2019 |
Dynamic optimisation of beer fermentation under parametric uncertainty S Bhonsale, W Mores, J Van Impe Fermentation 7 (4), 285, 2021 | 5 | 2021 |
Multi-objective optimization under parametric uncertainty: A Pareto ellipsoids-based algorithm W Mores, P Nimmegeers, I Hashem, SS Bhonsale, JFM Van Impe Computers & Chemical Engineering 169, 108099, 2023 | 4 | 2023 |
Design, implementation and simulation of a small-scale biorefinery model M Sbarciog, V De Buck, S Akkermans, S Bhonsale, M Polanska, ... Processes 10 (5), 829, 2022 | 4 | 2022 |
Metabolic reaction network-based model predictive control of bioprocesses P Nimmegeers, D Vercammen, S Bhonsale, F Logist, J Van Impe Applied Sciences 11 (20), 9532, 2021 | 4 | 2021 |
On the implementation of generalized polynomial chaos in dynamic optimization under stochastic uncertainty: a user perspective S Bhonsale, P Nimmegeers, D Telen, JA Paulson, A Mesbah, J Van Impe Computer Aided Chemical Engineering 46, 541-546, 2019 | 3 | 2019 |
Towards quality by design in pharmaceutical manufacturing: modelling and control of air jet mills S Bhonsale, D Telen, B Stokbroekx, J Van Impe EPJ Web of Conferences 140, 07003, 2017 | 3 | 2017 |
Quantitative methods to predict the effect of climate change on microbial food safety: A needs analysis L Katsini, S Bhonsale, S Akkermans, S Roufou, S Griffin, V Valdramidis, ... Trends in Food Science & Technology 126, 113-125, 2022 | 2 | 2022 |
Risk averse model predictive control of bioreactors S Bhonsale, M Descamps, MI Sbarciog, P Sopasakis, J Van Impe IFAC-PapersOnLine 55 (7), 928-933, 2022 | 2 | 2022 |
Towards nonlinear model predictive control with integrated experiment design D Telen, M Vallerio, S Bhonsale, F Logist, J Van Impe 2016 American Control Conference (ACC), 942-947, 2016 | 2 | 2016 |