A deep reinforcement learning approach for chemical production scheduling CD Hubbs, C Li, NV Sahinidis, IE Grossmann, JM Wassick
Computers & Chemical Engineering 141, 106982, 2020
180 2020 A Review of Stochastic Programming Methods for Optimization of Process Systems under Uncertainty C Li, IE Grossmann
Frontiers in Chemical Engineering 2, 34, 2021
151 2021 Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems C Li, AJ Conejo, P Liu, BP Omell, JD Siirola, IE Grossmann
European Journal of Operational Research 297 (3), 1071-1082, 2022
129 2022 Engineering chimeric antigen receptor neutrophils from human pluripotent stem cells for targeted cancer immunotherapy Y Chang, R Syahirah, X Wang, G Jin, S Torregrosa-Allen, BD Elzey, ...
Cell reports 40 (3), 2022
74 2022 Algorithmic approaches to inventory management optimization HD Perez, CD Hubbs, C Li, IE Grossmann
Processes 9 (1), 102, 2021
73 2021 On representative day selection for capacity expansion planning of power systems under extreme operating conditions C Li, AJ Conejo, JD Siirola, IE Grossmann
International Journal of Electrical Power & Energy Systems 137, 107697, 2022
62 2022 An improved L-shaped method for two-stage convex 0–1 mixed integer nonlinear stochastic programs C Li, IE Grossmann
Computers & Chemical Engineering 112, 165-179, 2018
54 2018 A generalized Benders decomposition-based branch and cut algorithm for two-stage stochastic programs with nonconvex constraints and mixed-binary first and second stage variables C Li, IE Grossmann
Journal of Global Optimization, 2019
38 2019 A review on the performance of linear and mixed integer two-stage stochastic programming software JJ Torres, C Li, RM Apap, IE Grossmann
Algorithms 15 (4), 103, 2022
35 * 2022 Sequence-based prediction of cysteine reactivity using machine learning H Wang, X Chen, C Li, Y Liu, F Yang, C Wang
Biochemistry 57 (4), 451-460, 2018
35 2018 Recent advances and challenges in optimization models for expansion planning of power systems and reliability optimization S Cho, C Li, IE Grossmann
Computers & Chemical Engineering 165, 107924, 2022
30 2022 Diagnosing infeasible optimization problems using large language models H Chen, GE Constante-Flores, C Li
INFOR: Information Systems and Operational Research 62 (4), 573-587, 2024
25 2024 Global Optimization Algorithm for Multi-period Design and Planning of Centralized and Distributed Manufacturing Networks CL Lara, DE Bernal, C Li, IE Grossmann
Computers & Chemical Engineering 127, 295--310, 2019
23 2019 A finite C Li, IE Grossmann
Journal of Global Optimization, 1-27, 2019
20 * 2019 Sample average approximation for stochastic nonconvex mixed integer nonlinear programming via outer-approximation C Li, DE Bernal, KC Furman, MA Duran, IE Grossmann
Optimization and Engineering 22, 1245-1273, 2021
11 2021 Shale gas pad development planning under price uncertainty C Li, JP Eason, MG Drouven, IE Grossmann
AIChE Journal 66 (6), e16933, 2020
11 2020 Physics-informed neural networks with hard linear equality constraints H Chen, GEC Flores, C Li
Computers & Chemical Engineering 189, 108764, 2024
10 2024 Multi‐period design and planning model of shale gas field development Z Peng, C Li, IE Grossmann, K Kwon, S Ko, J Shin, Y Feng
AIChE Journal 67 (8), e17195, 2021
7 2021 Distributed manufacturing for electrified chemical processes in a microgrid A Ramanujam, GE Constante‐Flores, C Li
AIChE Journal 69 (12), e18265, 2023
4 2023 PAMSO: Parametric Autotuning Multi-time Scale Optimization Algorithm A Ramanujam, C Li
arXiv preprint arXiv:2407.16570, 2024
2 2024 
Ignacio E. GrossmannCarnegie Mellon UniversityAdresă de e-mail confirmată pe cmu.edu