Two-dimensional transition metal carbides as supports for tuning the chemistry of catalytic nanoparticles Z Li, L Yu, C Milligan, T Ma, L Zhou, Y Cui, Z Qi, N Libretto, B Xu, J Luo, ... Nature communications 9 (1), 5258, 2018 | 206 | 2018 |
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 | 77 | 2022 |
Machine learning modeling and predictive control of nonlinear processes using noisy data Z Wu, D Rincon, J Luo, PD Christofides AIChE Journal 67 (4), e17164, 2021 | 53 | 2021 |
Process structure-based recurrent neural network modeling for predictive control: A comparative study MS Alhajeri, J Luo, Z Wu, F Albalawi, PD Christofides Chemical Engineering Research and Design 179, 77-89, 2022 | 41 | 2022 |
Machine learning-based predictive control using noisy data: evaluating performance and robustness via a large-scale process simulator Z Wu, J Luo, D Rincon, PD Christofides Chemical Engineering Research and Design 168, 275-287, 2021 | 33 | 2021 |
Machine learning-based operational modeling of an electrochemical reactor: Handling data variability and improving empirical models J Luo, V Canuso, JB Jang, Z Wu, CG Morales-Guio, PD Christofides Industrial & Engineering Chemistry Research 61 (24), 8399-8410, 2022 | 17 | 2022 |
Digitalization of an experimental electrochemical reactor via the smart manufacturing innovation platform B Çıtmacı, J Luo, JB Jang, P Korambath, CG Morales-Guio, JF Davis, ... Digital Chemical Engineering 5, 100050, 2022 | 14 | 2022 |
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 | 14 | 2022 |
Microscopic and data-driven modeling and operation of thermal atomic layer etching of aluminum oxide thin films S Yun, M Tom, J Luo, G Orkoulas, PD Christofides Chemical Engineering Research and Design 177, 96-107, 2022 | 14 | 2022 |
Machine learning-based ethylene and carbon monoxide estimation, real-time optimization, and multivariable feedback control of an experimental electrochemical reactor B Çıtmacı, J Luo, JB Jang, CG Morales-Guio, PD Christofides Chemical Engineering Research and Design 191, 658-681, 2023 | 11 | 2023 |
Machine learning-based predictive control using on-line model linearization: Application to an experimental electrochemical reactor J Luo, B Çıtmacı, JB Jang, F Abdullah, CG Morales-Guio, PD Christofides Chemical Engineering Research and Design 197, 721-737, 2023 | 10 | 2023 |
Model predictive control of nonlinear processes using neural ordinary differential equation models J Luo, F Abdullah, PD Christofides Computers & Chemical Engineering 178, 108367, 2023 | 7 | 2023 |
Twodimensional transition metal carbides as supports for tuning the chemistry of catalytic nanoparticles. Nat Commun 2018 Z Li, L Yu, C Milligan, T Ma, L Zhou, Y Cui, Z Qi, N Libretto, B Xu, J Luo, ... | 6 | |
Smart manufacturing inspired approach to research, development, and scale-up of electrified chemical manufacturing systems D Richard, J Jang, B Çıtmacı, J Luo, V Canuso, P Korambath, ... Iscience 26 (6), 2023 | 3 | 2023 |
Machine Learning Modeling for Process Control and Electrochemical Reactor Operation J Luo University of California, Los Angeles, 2023 | 3 | 2023 |
Handling noisy data in machine learning modeling and predictive control of nonlinear processes Z Wu, D Rincon, J Luo, PD Christofides 2021 American Control Conference (ACC), 3345-3351, 2021 | 3 | 2021 |
Process modeling guides operational variables that affect CO2 utilization during the accelerated carbonation of concrete DP Prentice, O AlShareedah, M Sarkar, J Arabit, I Mehdipour, S Afzal, ... AIChE Journal 70 (5), e18387, 2024 | 1 | 2024 |
Co-Teaching Approach to Machine Learning-based Predictive Control of Nonlinear Processes Z Wu, J Luo, D Rincon, PD Christofides IFAC-PapersOnLine 54 (3), 639-646, 2021 | 1 | 2021 |
Model Predictive Control of an Experimental Electrochemical Reactor J Luo, B Citmaci, J Jang, D Richard, F Abdullah, C Morales-Guio, ... 2023 AIChE Annual Meeting, 2023 | | 2023 |
Machine Learning-Based Gas Product Estimation and Feedback Control of an Experimental Proton Membrane Reactor B Citmaci, D Richard, J Luo, J Jang, C Morales-Guio, P Christofides 2023 AIChE Annual Meeting, 2023 | | 2023 |