| Active metric learning for supervised classification K Kumaran, DJ Papageorgiou, M Takac, L Lueg, NV Sahinidis Computers & Chemical Engineering 144, 107132, 2021 | 11 | 2021 |
| reluMIP: Open source tool for MILP optimization of ReLU neural networks, 2021 L Lueg, B Grimstad, A Mitsos, AM Schweidtmann URL https://github. com/ChemEngAI/ReLU_ANN_MILP, 0 | 9* | |
| Data‐Driven Process Simulation Using Connected Surrogate Unit Models Exemplified on a Steam Methane Reforming Process D Schack, L Lueg, R Schmidt, M von Kurnatowski, PO Ludl, M Bortz Chemie Ingenieur Technik 93 (12), 2052-2062, 2021 | 4 | 2021 |
| Utilizing modern computer architectures to solve mathematical optimization problems: A survey DEB Neira, CD Laird, LR Lueg, SM Harwood, D Trenev, D Venturelli Computers & Chemical Engineering 184, 108627, 2024 | 3 | 2024 |
| Data-driven Process Design Exemplified on the Steam Methane Reforming Process L Lueg, D Schack, E Örs, R Schmidt, P Bickert, M von Kurnatowski, ... Computer Aided Chemical Engineering 50, 1013-1019, 2021 | 1 | 2021 |
| Domain Decomposition Preconditioners for Schur Complement Systems Arising in Structured Nonlinear Optimization Problems L Lueg, C Laird, L Biegler 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Evaluation of Direct and Iterative Approaches for the Parallel Solution of Structured Nonlinear Optimization Problems LR Lueg, M Bynum, CD Laird, LT Biegler IFAC-PapersOnLine 58 (14), 793-798, 2024 | | 2024 |
