| Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach D Chaffart, LA Ricardez-Sandoval Computers & Chemical Engineering 119, 465-479, 2018 | 98 | 2018 |
| Machine learning in solid heterogeneous catalysis: Recent developments, challenges and perspectives Y Guan, D Chaffart, G Liu, Z Tan, D Zhang, Y Wang, J Li, ... Chemical Engineering Science 248, 117224, 2022 | 75 | 2022 |
| Robust dynamic optimization in heterogeneous multiscale catalytic flow reactors using polynomial chaos expansion D Chaffart, LA Ricardez-Sandoval Journal of Process Control 60, 128-140, 2017 | 43 | 2017 |
| Distributional uncertainty analysis and robust optimization in spatially heterogeneous multiscale process systems D Chaffart, S Rasoulian, LA Ricardez‐Sandoval AIChE Journal 62 (7), 2374-2390, 2016 | 43 | 2016 |
| Modelling and optimization of a pilot-scale entrained-flow gasifier using artificial neural networks H Wang, D Chaffart, LA Ricardez-Sandoval Energy 188, 116076, 2019 | 25 | 2019 |
| Multilevel Monte Carlo applied for uncertainty quantification in stochastic multiscale systems G Kimaev, D Chaffart, LA Ricardez‐Sandoval AIChE Journal 66 (8), e16262, 2020 | 23 | 2020 |
| Robust optimization of a multiscale heterogeneous catalytic reactor system with spatially‐varying uncertainty descriptions using polynomial chaos expansions D Chaffart, LA Ricardez‐Sandoval The Canadian Journal of Chemical Engineering 96 (1), 113-131, 2018 | 21 | 2018 |
| A moving front kinetic Monte Carlo algorithm for moving interface systems D Chaffart, S Shi, C Ma, C Lv, LA Ricardez-Sandoval The Journal of Physical Chemistry B 126 (9), 2040-2059, 2022 | 7 | 2022 |
| A three dimensional kinetic monte carlo defect-free crystal dissolution model for biological systems, with application to uncertainty analysis and robust optimization D Chaffart, LA Ricardez-Sandoval Computers & Chemical Engineering 157, 107586, 2022 | 4 | 2022 |
| Distributional Uncertainty Analysis in Transient Heterogeneous Multiscale Catalytic Flow Reactors DRG Chaffart, LA Ricardez-Sandoval IFAC-PapersOnLine 49 (7), 436-441, 2016 | 4 | 2016 |
| A semi-empirical force balance-based model to capture sessile droplet spread on smooth surfaces: A moving front kinetic Monte Carlo study D Chaffart, S Shi, C Ma, C Lv, LA Ricardez-Sandoval Physics of Fluids 35 (3), 2023 | 2 | 2023 |
| A moving front kinetic Monte Carlo approach to model sessile droplet spreading on superhydrophobic surfaces D Chaffart, LA Ricardez-Sandoval Chemical Engineering Science 280, 119006, 2023 | 1 | 2023 |
| Uncertainty Analysis and Robust Optimization of a Single Pore in a Heterogeneous Catalytic Flow Reactor System D Chaffart University of Waterloo, 2017 | 1 | 2017 |
| Transparency: The Missing Link to Boosting AI Transformations in Chemical Engineering Y Yuan, D Chaffart, T Wu, J Zhu Engineering, 2024 | | 2024 |
| Multiscale Physics-Informed Neural Network Framework to Capture Stochastic Thin-Film Deposition D Chaffart, Y Yuan, LA Ricardez-Sandoval The Journal of Physical Chemistry C 128 (9), 3733-3750, 2024 | | 2024 |
| Development of a Moving Front Kinetic Monte Carlo Algorithm to Simulate Moving Interface Systems D Chaffart University of Waterloo, 2023 | | 2023 |
