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Donovan Chaffart

Observed names: Chaffart, Donovan, Donovan R.G. Chaffart
ORCID: 0000-0002-2360-7804
Observed ORCID: 0000-0002-2360-7804
OpenAlex ID: A5089919792
Machine learning in solid heterogeneous catalysis: Recent developments, challenges and perspectives
2021 · Yani Guan, Donovan Chaffart, et al. · Chemical Engineering Science · 161
Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach
2018 · Donovan Chaffart, Luis A. Ricardez-Sandoval · Computers & Chemical Engineering · 86
Modelling and optimization of a pilot-scale entrained-flow gasifier using artificial neural networks
2019 · Han Wang, Donovan Chaffart, et al. · Energy · 38
Distributional uncertainty analysis and robust optimization in spatially heterogeneous multiscale process systems
2016 · Donovan Chaffart, Shabnam Rasoulian, et al. · AIChE Journal · 35
Robust dynamic optimization in heterogeneous multiscale catalytic flow reactors using polynomial chaos expansion
2017 · Donovan Chaffart, Luis A. Ricardez-Sandoval · Journal of Process Control · 33
Transparency: The Missing Link to Boosting AI Transformations in Chemical Engineering
2024 · Yue Yuan, Donovan Chaffart, et al. · Engineering · 25
Multiscale Physics-Informed Neural Network Framework to Capture Stochastic Thin-Film Deposition
2024 · Donovan Chaffart, Yue Yuan, et al. · The Journal of Physical Chemistry C · 21
Multilevel Monte Carlo applied for uncertainty quantification in stochastic multiscale systems
2020 · Grigoriy Kimaev, Donovan Chaffart, et al. · AIChE Journal · 20
Robust optimization of a multiscale heterogeneous catalytic reactor system with spatially‐varying uncertainty descriptions using polynomial chaos expansions
2017 · Donovan Chaffart, Luis A. Ricardez‐Sandoval · The Canadian Journal of Chemical Engineering · 16
A Moving Front Kinetic Monte Carlo Algorithm for Moving Interface Systems
2022 · Donovan Chaffart, Songlin Shi, et al. · The Journal of Physical Chemistry B · 6
Time-series signal analysis of sustainable process intensification: Characterization method development of gas-solid fluidized bed hydrodynamics towards AI-enhanced algorithms
2025 · Yue Yuan, Silu Chen, et al. · Green Energy and Resources · 5
Polynomial Neural Networks for improved AI transparency: An analysis of their inherent explainability (operational rationale) capabilities
2025 · Donovan Chaffart, Yue Yuan · Digital Chemical Engineering · 4
A three dimensional kinetic Monte Carlo defect-free crystal dissolution model for biological systems, with application to uncertainty analysis and robust optimization
2021 · Donovan Chaffart, Luis A. Ricardez-Sandoval · Computers & Chemical Engineering · 4
Distributional Uncertainty Analysis in Transient Heterogeneous Multiscale Catalytic Flow Reactors
2016 · Donovan R.G. Chaffart, Luis A. Ricardez-Sandoval · IFAC-PapersOnLine · 3
A moving front kinetic Monte Carlo approach to model sessile droplet spreading on superhydrophobic surfaces
2023 · Donovan Chaffart, Luis A. Ricardez-Sandoval · Chemical Engineering Science · 1
A semi-empirical force balance-based model to capture sessile droplet spread on smooth surfaces: A moving front kinetic Monte Carlo study
2023 · Donovan Chaffart, Songlin Shi, et al. · Physics of Fluids · 1
A signal-to-noise ratio-based framework for evaluating AI regression model robustness: applications in fluidized bed and powder coating systems
2026 · Changhao Zheng, Yingjie Liu, et al. · Powder Technology
An Enhanced Multi-Output Artificial Neural Network Model for Handling Misaligned Datasets, with Application to Fluidization
2025 · Changhao Zheng, Yingjie Liu, et al. · SSRN Electronic Journal
Uncertainty Analysis and Robust Optimization of a Single Pore in a Heterogeneous Catalytic Flow Reactor System
2017 · Donovan Chaffart · UWSpace (University of Waterloo)
Works count: 20
Citation count: 459
H-index: 9
I10-index: 9
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