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John P. Eason

Observed names: Eason, John P., John Eason, John P Eason
ORCID: 0000-0002-2013-2946
Observed ORCID: 0000-0002-2013-2946
OpenAlex ID: A5023427162
Adaptive sequential sampling for surrogate model generation with artificial neural networks
2014 · John Eason, Selen Cremaschi · Computers & Chemical Engineering · 261
Simultaneous heat integration and techno-economic optimization of Organic Rankine Cycle (ORC) for multiple waste heat stream recovery
2016 · Haoshui Yu, John Eason, et al. · Energy · 77
A trust region filter method for glass box/black box optimization
2016 · John P. Eason, Lorenz T. Biegler · AIChE Journal · 65
Process integration and superstructure optimization of Organic Rankine Cycles (ORCs) with heat exchanger network synthesis
2017 · Haoshui Yu, John Eason, et al. · Computers & Chemical Engineering · 62
A systematic method to customize an efficient organic Rankine cycle (ORC) to recover waste heat in refineries
2016 · Haoshui Yu, Xiao Feng, et al. · Applied Energy · 48
Advanced trust region optimization strategies for glass box/black box models
2018 · John P. Eason, Lorenz T. Biegler · AIChE Journal · 35
Process optimization and working fluid mixture design for organic Rankine cycles (ORCs) recovering compression heat in oxy-combustion power plants
2018 · Haoshui Yu, John Eason, et al. · Energy Conversion and Management · 22
A multi-objective superstructure optimization approach to biofeedstocks-to-biofuels systems design
2014 · John P. Eason, Selen Cremaschi · Biomass and Bioenergy · 22
Dynamic optimization for grade transition processes using orthogonal collocation on molecular weight distribution
2019 · Yannan Ma, Xi Chen, et al. · AIChE Journal · 19
Coal Oxycombustion Power Plant Optimization Using First Principles and Surrogate Boiler Models
2014 · Alexander W. Dowling, John P. Eason, et al. · Energy Procedia · 18
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Development of a first-principles hybrid boiler model for oxy-combustion power generation system
2016 · Jinliang Ma, John P. Eason, et al. · International journal of greenhouse gas control · 17
Multistage nonlinear model predictive control for pumping treatment in hydraulic fracturing
2021 · Kuan‐Han Lin, John P. Eason, et al. · AIChE Journal · 14
Operational Optimization of Polymerization Reactors with Computational Fluid Dynamics and Embedded Molecular Weight Distribution Using the Iterative Surrogate Model Method
2020 · Jing Kong, John P. Eason, et al. · Industrial & Engineering Chemistry Research · 14
Parallel cyclic reduction decomposition for dynamic optimization problems
2017 · Wei Wan, John P. Eason, et al. · Computers & Chemical Engineering · 14
Shale gas pad development planning under price uncertainty
2020 · Can Li, John P. Eason, et al. · AIChE Journal · 12
Reduced model trust region methods for embedding complex simulations in optimization problems
2015 · John P. Eason, Lorenz T. Biegler · Computer-aided chemical engineering/Computer aided chemical engineering · 10
Hose-based cross-layer backbone network design with Benders decomposition
2023 · John P Eason, Xueqi He, et al. · ACM SIGCOMM Conference (SIGCOMM) · 9
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A Smooth, Square Flash Formulation for Equation-Oriented Flowsheet Optimization
2018 · Anthony P. Burgard, John P. Eason, et al. · Computer-aided chemical engineering/Computer aided chemical engineering · 8
Equation-Based Design, Integration, and Optimization of Oxycombustion Power Systems
2016 · Alexander W. Dowling, John P. Eason, et al. · Springer eBooks · 6
Energy-efficient CO 2 liquefaction for oxy-combustion power plant with ASU-CPU integration enhanced by cascaded sub-ambient energy utilization and waste heat recovery
2017 · Dehao Zhu, John P. Eason, et al. · International journal of greenhouse gas control · 5
1 Model reduction in chemical process optimization
2020 · John P. Eason, Lorenz T. Biegler · De Gruyter eBooks · 4
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Surrogate Equations of State for Equation-Oriented Optimization of Polymerization Processes
2018 · John P. Eason, Jiayuan Kang, et al. · Computer-aided chemical engineering/Computer aided chemical engineering · 4
A Trust Region Filter Algorithm for Surrogate-based Optimization
2018 · Eason, John P. · KiltHub Repository · 3
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Nonlinear Model Predictive Control of the Hydraulic Fracturing Process
2020 · Kuan-Han Lin, John P. Eason, et al. · IFAC-PapersOnLine · 2
Targeted Defragmentation of a Production Optical Network
2023 · Srivatsan Balasubramanian, Vinayak Dangui, et al. · International Conference on Optical Network Design and Modeling (ONDM) · 1
Works count: 25
Citation count: 752
H-index: 14
I10-index: 16
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