| A tutorial review of neural network modeling approaches for model predictive control YM Ren, MS Alhajeri, J Luo, S Chen, F Abdullah, Z Wu, PD Christofides Computers & Chemical Engineering 165, 107956, 2022 | 64 | 2022 |
| Machine learning-based modeling and operation for ALD of SiO2 thin-films using data from a multiscale CFD simulation Y Ding, Y Zhang, YM Ren, G Orkoulas, PD Christofides Chemical Engineering Research and Design 151, 131-145, 2019 | 47 | 2019 |
| Model predictive control of phthalic anhydride synthesis in a fixed-bed catalytic reactor via machine learning modeling Z Wu, A Tran, YM Ren, CS Barnes, S Chen, PD Christofides Chemical Engineering Research and Design 145, 173-183, 2019 | 40 | 2019 |
| In-situ infrared thermographic inspection for local powder layer thickness measurement in laser powder bed fusion T Liu, CS Lough, H Sehhat, YM Ren, PD Christofides, EC Kinzel, MC Leu Additive Manufacturing 55, 102873, 2022 | 38 | 2022 |
| Computational fluid dynamics-based in-situ sensor analytics of direct metal laser solidification process using machine learning YM Ren, Y Zhang, Y Ding, Y Wang, PD Christofides Computers & Chemical Engineering 143, 107069, 2020 | 19 | 2020 |
| Machine learning-based ethylene concentration estimation, real-time optimization and feedback control of an experimental electrochemical reactor B Çıtmacı, J Luo, JB Jang, V Canuso, D Richard, YM Ren, ... Chemical Engineering Research and Design 185, 87-107, 2022 | 13 | 2022 |
| A three-level hierachical framework for additive manufacturing YM Ren, Y Ding, Y Zhang, PD Christofides Digital Chemical Engineering 1, 100001, 2021 | 11 | 2021 |
| Finite element modeling of direct metal laser solidification process: Sensor data replication and use in defect detection and data reduction via machine learning YM Ren, Y Zhang, Y Ding, T Liu, CS Lough, MC Leu, EC Kinzel, ... Chemical Engineering Research and Design 171, 254-267, 2021 | 8 | 2021 |
| Machine learning-based model predictive control of distributed chemical processes Z Wu, A Tran, YM Ren, CS Barnes, S Chen, PD Christofides IFAC-PapersOnLine 52 (2), 120-127, 2019 | 8 | 2019 |
| Symbolic multivariable hierarchical clustering based convolutional neural networks with applications in industrial process operating trend predictions Y Wang, YM Ren, H Li Industrial & Engineering Chemistry Research 59 (34), 15133-15145, 2020 | 6 | 2020 |
| Computational Fluid Dynamics Modeling and Control of Phthalic Anhydride Synthesis in a Fixed-Bed Catalytic Reactor Z Wu, A Tran, YM Ren, CS Barnes, PD Christofides 2019 American Control Conference (ACC), 2151-2157, 2019 | 2 | 2019 |
| Model predictive control of nonlinear processes using transfer learning-based recurrent neural networks MS Alhajeri, YM Ren, F Ou, F Abdullah, PD Christofides Chemical Engineering Research and Design 205, 1-12, 2024 | | 2024 |
| Machine Learning Modeling with Application to Laser Powder Bed Fusion Additive Manufacturing Process YM Ren University of California, Los Angeles, 2022 | | 2022 |
| Defect Detection Using Experimental and Simulated Dataset and Data Reduction for Direct Metal Laser Solidification (DMLS) YM Ren, Y Zhang, P Christofides 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Computational Fluid Dynamics-Based in-Situ Sensor Analytics of Direct Metal Laser Sintering Process Using Machine Learning YM Ren, Y Zhang, Y Ding, P Christofides 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Multiscale Three-Dimensional CFD Modeling and Reactor Design for ALD of SiO2 Thin-Films Y Zhang, Y Ding, YM Ren, P Christofides 2019 AIChE Annual Meeting, 2019 | | 2019 |
