| Physics-informed machine learning for MPC: Application to a batch crystallization process G Wu, WTG Yion, KLNQ Dang, Z Wu Chemical Engineering Research and Design 192, 556-569, 2023 | 16 | 2023 |
| Machine learning aided model predictive control with multi-objective optimization and multi-criteria decision making Z Wang, WGY Tan, GP Rangaiah, Z Wu Computers & Chemical Engineering 179, 108414, 2023 | 7 | 2023 |
| Robust machine learning modeling for predictive control using Lipschitz-constrained neural networks WGY Tan, Z Wu Computers & Chemical Engineering 180, 108466, 2024 | 5 | 2024 |
| Rapid, Automated Measurement of Dynamic Size Distributions and Size-Dependent Growth Rates of Crystal Ensembles within Microfluidic Flow Cells AYH Chua, GY Tan, EWQ Yeap, DM Walker, JM Hawkins, SA Khan Crystal Growth & Design 22 (5), 2869-2879, 2022 | 2 | 2022 |
| Robust reduced-order machine learning modeling of high-dimensional nonlinear processes using noisy data WGY Tan, M Xiao, Z Wu Digital Chemical Engineering, 100145, 2024 | 1 | 2024 |
| Predictive Control of Chemical Processes Using Physics-Informed Neural Network Models G Wu, W Tan, M Xiao, Z Wu 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Improving Robustness of Machine Learning Modeling of Nonlinear Processes Using Lipschitz-Constrained Neural Networks WTG Yion, M Xiao, Z Wu 2023 AIChE Annual Meeting, 2023 | | 2023 |
| A Machine Learning Assisted Approach to Model Predictive Control with Multi-Objective Optimization and Multi-Criteria Decision Making Z Wang, WTG Yion, GP Rangaiah, Z Wu 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Automated Microfluidic Systems for Real-Time Pharmaceutical Crystal Metrology and Classification AYH Chua, WTG Yion, EWQ Yeap, DM Walker, JM Hawkins, S Khan 2023 AIChE Annual Meeting, 2023 | | 2023 |
