| Adaptive sequential sampling for surrogate model generation with artificial neural networks J Eason, S Cremaschi Computers & Chemical Engineering 68, 220-232, 2014 | 287 | 2014 |
| Simultaneous heat integration and techno-economic optimization of Organic Rankine Cycle (ORC) for multiple waste heat stream recovery H Yu, J Eason, LT Biegler, X Feng Energy 119, 322-333, 2017 | 84 | 2017 |
| A trust region filter method for glass box/black box optimization JP Eason, LT Biegler AIChE Journal 62 (9), 3124-3136, 2016 | 76 | 2016 |
| Process integration and superstructure optimization of Organic Rankine Cycles (ORCs) with heat exchanger network synthesis H Yu, J Eason, LT Biegler, X Feng Computers & Chemical Engineering 107, 257-270, 2017 | 66 | 2017 |
| A systematic method to customize an efficient organic Rankine cycle (ORC) to recover waste heat in refineries H Yu, X Feng, Y Wang, LT Biegler, J Eason Applied Energy 179, 302-315, 2016 | 48 | 2016 |
| Advanced trust region optimization strategies for glass box/black box models JP Eason, LT Biegler AIChE Journal 64 (11), 3934-3943, 2018 | 36 | 2018 |
| Process optimization and working fluid mixture design for organic Rankine cycles (ORCs) recovering compression heat in oxy-combustion power plants H Yu, J Eason, LT Biegler, X Feng, T Gundersen Energy Conversion and Management 175, 132-141, 2018 | 22 | 2018 |
| A multi-objective superstructure optimization approach to biofeedstocks-to-biofuels systems design JP Eason, S Cremaschi Biomass and Bioenergy 63, 64-75, 2014 | 20 | 2014 |
| Development of a first-principles hybrid boiler model for oxy-combustion power generation system J Ma, JP Eason, AW Dowling, LT Biegler, DC Miller International Journal of Greenhouse Gas Control 46, 136-157, 2016 | 19 | 2016 |
| Coal oxycombustion power plant optimization using first principles and surrogate boiler models AW Dowling, JP Eason, J Ma, DC Miller, LT Biegler Energy Procedia 63, 352-361, 2014 | 19 | 2014 |
| Parallel cyclic reduction decomposition for dynamic optimization problems W Wan, JP Eason, B Nicholson, LT Biegler Computers & Chemical Engineering 120, 54-69, 2019 | 18 | 2019 |
| Dynamic optimization for grade transition processes using orthogonal collocation on molecular weight distribution Y Ma, X Chen, JP Eason, LT Biegler AIChE Journal 65 (4), 1198-1210, 2019 | 17 | 2019 |
| Shale gas pad development planning under price uncertainty C Li, JP Eason, MG Drouven, IE Grossmann AIChE Journal 66 (6), e16933, 2020 | 13 | 2020 |
| Operational optimization of polymerization reactors with computational fluid dynamics and embedded molecular weight distribution using the iterative surrogate model method J Kong, JP Eason, X Chen, LT Biegler Industrial & Engineering Chemistry Research 59 (19), 9165-9179, 2020 | 12 | 2020 |
| A smooth, square flash formulation for equation-oriented flowsheet optimization AP Burgard, JP Eason, JC Eslick, JH Ghouse, A Lee, LT Biegler, ... Computer aided chemical engineering 44, 871-876, 2018 | 11 | 2018 |
| Reduced model trust region methods for embedding complex simulations in optimization problems JP Eason, LT Biegler Computer Aided Chemical Engineering 37, 773-778, 2015 | 11 | 2015 |
| Multistage nonlinear model predictive control for pumping treatment in hydraulic fracturing KH Lin, JP Eason, LT Biegler AIChE Journal 68 (3), e17537, 2022 | 10 | 2022 |
| Equation-based design, integration, and optimization of oxycombustion power systems AW Dowling, JP Eason, J Ma, DC Miller, LT Biegler Alternative Energy Sources and Technologies: Process Design and Operation …, 2016 | 9 | 2016 |
| Energy-efficient CO2 liquefaction for oxy-combustion power plant with ASU-CPU integration enhanced by cascaded sub-ambient energy utilization and waste heat recovery D Zhu, JP Eason, LT Biegler International Journal of Greenhouse Gas Control 61, 124-137, 2017 | 8 | 2017 |
| A trust region filter algorithm for surrogate-based optimization JP Eason Carnegie Mellon University, 2018 | 6 | 2018 |
Selen CremaschiAuburn UniversityVerified email at auburn.edu
