A column generation approach to multiscale capacity planning for power-intensive process networks A Flores-Quiroz, JM Pinto, Q Zhang Optimization and Engineering, 1-27, 2019 | 13 | 2019 |
A discrete-time scheduling model for continuous power-intensive process networks with various power contracts Q Zhang, A Sundaramoorthy, IE Grossmann, JM Pinto Computers & Chemical Engineering 84, 382-393, 2016 | 115 | 2016 |
A hybrid mechanistic-empirical model for in silico mammalian cell bioprocess simulation CM O'Brien, Q Zhang, P Daoutidis, WS Hu Metabolic Engineering 66, 31-40, 2021 | 36 | 2021 |
A mixed integer linear programming approach for the design of chemical process families G Stinchfield, JC Morgan, S Naik, LT Biegler, JC Eslick, C Jacobson, ... Computers & Chemical Engineering 183, 108620, 2024 | 1 | 2024 |
A Unified Approach to Multi‐Scenario Sensor Network Design for Data Reconciliation J Wei, Q Zhang, Z Yuan AIChE Journal, e17404, 2021 | 1 | 2021 |
A Unified Framework for Adjustable Robust Optimization with Endogenous Uncertainty Q Zhang, W Feng AIChE Journal, e17047, 2020 | 22 | 2020 |
Adaptation and approximate strategies for solving the lot-sizing and scheduling problem under multistage demand uncertainty E Curcio, P Amorim, Q Zhang, B Almada-Lobo International Journal of Production Economics 202, 81-96, 2018 | 41 | 2018 |
Air separation with cryogenic energy storage: optimal scheduling considering electric energy and reserve markets Q Zhang, IE Grossmann, CF Heuberger, A Sundaramoorthy, JM Pinto AIChE Journal 61 (5), 1547-1558, 2015 | 187 | 2015 |
Ammonia-based green corridors for sustainable maritime transportation H Wang, P Daoutidis, Q Zhang Digital Chemical Engineering 6, 100082, 2023 | 21 | 2023 |
An adjustable robust optimization approach to scheduling of continuous industrial processes providing interruptible load Q Zhang, MF Morari, IE Grossmann, A Sundaramoorthy, JM Pinto Computers & Chemical Engineering 86, 106-119, 2016 | 122 | 2016 |
An inverse optimization approach to decision-focused learning R Gupta, Q Zhang Computer Aided Chemical Engineering 52, 1359-1365, 2023 | 1 | 2023 |
Biomass waste-to-energy supply chain optimization with mobile production modules A Allman, C Lee, M Martín, Q Zhang Computers & Chemical Engineering 150, 107326, 2021 | 47 | 2021 |
BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification YA Lu, WS Hu, JA Paulson, Q Zhang arXiv preprint arXiv:2405.17875, 2024 | | 2024 |
Branch-and-price for a class of nonconvex mixed-integer nonlinear programs A Allman, Q Zhang Journal of Global Optimization 81, 861-880, 2021 | 10 | 2021 |
Capacity Planning for Sustainable Process Systems with Uncertain Endogenous Technology Learning T Rathi, Q Zhang Computer Aided Chemical Engineering 49, 1219-1224, 2022 | | 2022 |
Capacity planning with uncertain endogenous technology learning T Rathi, Q Zhang Computers & Chemical Engineering 164, 107868, 2022 | 10 | 2022 |
Catalytic resonance theory: parallel reaction pathway control MA Ardagh, M Shetty, A Kuznetsov, Q Zhang, P Christopher, DG Vlachos, ... Chemical Science 11 (13), 3501-3510, 2020 | 59 | 2020 |
Catalytic resonance theory: superVolcanoes, catalytic molecular pumps, and oscillatory steady state MA Ardagh, T Birol, Q Zhang, OA Abdelrahman, PJ Dauenhauer Catalysis Science & Technology 9 (18), 5058-5076, 2019 | 60 | 2019 |
Column generation for multistage stochastic mixed-integer nonlinear programs with discrete state variables T Rathi, BP Riley, A Flores-Quiroz, Q Zhang arXiv preprint arXiv:2406.05052, 2024 | | 2024 |
Corrigendum to ‘Ammonia-based green corridors for sustainable maritime transportation’[Digital Chemical Engineering 6 (2023) 100082](Digital Chemical Engineering (2023) 6 … H Wang, P Daoutidis, Q Zhang Digital Chemical Engineering 10, 100121, 2024 | | 2024 |