| Statistical analysis of series of detection time measurements for the estimation of nucleation rates GM Maggioni, L Bosetti, E dos Santos, M Mazzotti Crystal Growth & Design 17 (10), 5488-5498, 2017 | 39 | 2017 |
| Population balance modeling of growth and secondary nucleation by attrition and ripening L Bosetti, M Mazzotti Crystal Growth & Design 20 (1), 307-319, 2019 | 34 | 2019 |
| Secondary nucleation by interparticle energies. I. Thermodynamics L Bosetti, B Ahn, M Mazzotti Crystal Growth & Design 22 (1), 87-97, 2021 | 18 | 2021 |
| Study of secondary nucleation by attrition of potassium alum crystals suspended in different solvents L Bosetti, M Mazzotti Crystal Growth & Design 20 (4), 2570-2577, 2020 | 15 | 2020 |
| Secondary nucleation by interparticle energies. II. Kinetics B Ahn, L Bosetti, M Mazzotti Crystal Growth & Design 22 (1), 74-86, 2021 | 14 | 2021 |
| Secondary nucleation by interparticle energies. III. Nucleation rate model B Ahn, L Bosetti, M Mazzotti Crystal Growth & Design 22 (6), 3625-3636, 2022 | 8 | 2022 |
| Accounting for the Presence of Molecular Clusters in Modeling and Interpreting Nucleation and Growth B Ahn, L Bosetti, M Mazzotti Crystal Growth & Design 22 (1), 661-672, 2021 | 8 | 2021 |
| Process Performance and Operational Challenges in Continuous Crystallization: A Study of the Polymorphs of L-Glutamic Acid R Achermann, A Kosir, B Bodák, L Bosetti, M Mazzotti Crystal Growth & Design 23 (4), 2485-2503, 2023 | 3 | 2023 |
| Mechanisms and models of secondary nucleation L Bosetti ETH Zurich, 2021 | 1 | 2021 |
| Exploiting machine-learning thermodynamics for process design of the polyurethane waste recycling L Bosetti, BA Winter, J Lindfeld, J Schilling, A Bardow 11th World Congress of Chemical Engineering (WCCE11), 2023 | | 2023 |
| Machine-learning-powered molecular design: Optimal solvents for hybrid extraction-distillation J Lindfeld, L Bosetti, BA Winter, J Schilling, A Bardow Foundations of Process/product Analytics and Machine learning (FOPAM), Davis …, 2023 | | 2023 |
| Machine-learning-powered process design for the recycling of waste polyurethane L Bosetti, BA Winter, J Lindfeld, A Bardow 33rd European Symposium on Computer Aided Process Engineering (ESCAPE33), 2023 | | 2023 |
| Designing waste plastics recycling processes based on machine-learning thermodynamics predictions L Bosetti, BA Winter, J Lindfeld, A Bardow 2023 Process Development Symposium Europe, 2023 | | 2023 |
| CIRCULAR FOAM–Combined experimental and model‐based process design for the recycling of rigid PU foam H Gröschl, L Bosetti, A Bardow, A Jupke Chemie Ingenieur Technik 94 (9), 1309-1309, 2022 | | 2022 |
| Project: CIRCULAR FOAM Process Design and Life Cycle Assessment for the Chemical Recycle of end-of-life Polyurethane Foams M Pillich, L Bosetti, A Bardow 2022 Industrial Ecology Conference:" Advancing the Circular Economy for …, 2022 | | 2022 |
| Secondary Nucleation Rates: Comparison of Mechanisms and Models L Bosetti, R Achermann, B Ahn, M Mazzotti 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Population Balance Model Comparison of Growth, Secondary Nucleation By Attrition and Ripening L Bosetti, M Mazzotti 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Crystal nucleation from solution: design and modelling of detection time experiments G Maria Maggioni, E Santos, L Bosetti, M Mazzotti | | 2017 |
| CRYSTAL NUCLEATION FROM SOLUTION: DESIGN AND MODELLING OF DETECTION TIME EXPERIMENTS GM Maggioni, ETH Elena dos Santos, L Bosetti, M Mazzotti | | |
