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Generative artificial intelligence in chemical engineering spans multiple scales.
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- Frontiers in Chemical Engineering, 2024, p. 1, doi. 10.3389/fceng.2024.1458156
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Trade-off between critical metal requirement and transportation decarbonization in automotive electrification.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-37373-4
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Reshoring silicon photovoltaics manufacturing contributes to decarbonization and climate change mitigation.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-36827-z
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An integrated chemical engineering approach to understanding microplastics.
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- AIChE Journal, 2023, v. 69, n. 4, p. 1, doi. 10.1002/aic.18020
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Targeting climate‐neutral hydrogen production: Integrating brown and blue pathways with green hydrogen infrastructure via a novel superstructure and simulation‐based life cycle optimization.
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- AIChE Journal, 2023, v. 69, n. 1, p. 1, doi. 10.1002/aic.17956
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Perspectives of quantum computing for chemical engineering.
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- AIChE Journal, 2022, v. 68, n. 6, p. 1, doi. 10.1002/aic.17651
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Next generation pure component property estimation models: With and without machine learning techniques.
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- AIChE Journal, 2022, v. 68, n. 6, p. 1, doi. 10.1002/aic.17469
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Waste high‐density polyethylene recycling process systems for mitigating plastic pollution through a sustainable design and synthesis paradigm.
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- AIChE Journal, 2021, v. 67, n. 4, p. 1, doi. 10.1002/aic.17127
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Multi‐stage economic model predictive control for a gold cyanidation leaching process under uncertainty.
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- AIChE Journal, 2021, v. 67, n. 1, p. 1, doi. 10.1002/aic.17043
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Soft‐constrained model predictive control based on data‐driven distributionally robust optimization.
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- AIChE Journal, 2020, v. 66, n. 10, p. 1, doi. 10.1002/aic.16546
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Distributionally robust chance constrained programming with generative adversarial networks (GANs).
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- AIChE Journal, 2020, v. 66, n. 6, p. 1, doi. 10.1002/aic.16963
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Sustainable design of geothermal energy systems for electric power generation using life cycle optimization.
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- AIChE Journal, 2020, v. 66, n. 4, p. 1, doi. 10.1002/aic.16898
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Operational optimization of industrial steam systems under uncertainty using data‐Driven adaptive robust optimization.
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- AIChE Journal, 2019, v. 65, n. 7, p. N.PAG, doi. 10.1002/aic.16500
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Resilient supply chain design and operations with decision‐dependent uncertainty using a data‐driven robust optimization approach.
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- AIChE Journal, 2019, v. 65, n. 3, p. 1006, doi. 10.1002/aic.16513
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Data‐driven distributionally robust optimization of shale gas supply chains under uncertainty.
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- AIChE Journal, 2019, v. 65, n. 3, p. 947, doi. 10.1002/aic.16488
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Monetizing shale gas to polymers under mixed uncertainty: Stochastic modeling and likelihood analysis.
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- AIChE Journal, 2018, v. 64, n. 6, p. 2017, doi. 10.1002/aic.16058
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Modular methanol manufacturing from shale gas: Techno-economic and environmental analyses of conventional large-scale production versus small-scale distributed, modular processing.
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- AIChE Journal, 2018, v. 64, n. 2, p. 495, doi. 10.1002/aic.15958
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A new superstructure optimization paradigm for process synthesis with product distribution optimization: Application to an integrated shale gas processing and chemical manufacturing process.
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- AIChE Journal, 2018, v. 64, n. 1, p. 123, doi. 10.1002/aic.15882
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A data-driven multistage adaptive robust optimization framework for planning and scheduling under uncertainty.
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- AIChE Journal, 2017, v. 63, n. 10, p. 4343, doi. 10.1002/aic.15792
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Data-driven adaptive nested robust optimization: General modeling framework and efficient computational algorithm for decision making under uncertainty.
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- AIChE Journal, 2017, v. 63, n. 9, p. 3790, doi. 10.1002/aic.15717
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Game theory approach to optimal design of shale gas supply chains with consideration of economics and life cycle greenhouse gas emissions.
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- AIChE Journal, 2017, v. 63, n. 7, p. 2671, doi. 10.1002/aic.15605
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Optimal processing network design under uncertainty for producing fuels and value-added bioproducts from microalgae: Two-stage adaptive robust mixed integer fractional programming model and computationally efficient solution algorithm.
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- AIChE Journal, 2017, v. 63, n. 2, p. 582, doi. 10.1002/aic.15370
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Energy optimization of water supply system scheduling: Novel MINLP model and efficient global optimization algorithm.
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- AIChE Journal, 2016, v. 62, n. 12, p. 4277, doi. 10.1002/aic.15332
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Optimal supply chain design and operations under multi-scale uncertainties: Nested stochastic robust optimization modeling framework and solution algorithm.
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- AIChE Journal, 2016, v. 62, n. 9, p. 3041, doi. 10.1002/aic.15255
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A computational framework and solution algorithms for two-stage adaptive robust scheduling of batch manufacturing processes under uncertainty.
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- AIChE Journal, 2016, v. 62, n. 3, p. 687, doi. 10.1002/aic.15067
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A novel adaptive surrogate modeling-based algorithm for simultaneous optimization of sequential batch process scheduling and dynamic operations.
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- AIChE Journal, 2015, v. 61, n. 12, p. 4191, doi. 10.1002/aic.14974
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Deciphering and handling uncertainty in shale gas supply chain design and optimization: Novel modeling framework and computationally efficient solution algorithm.
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- AIChE Journal, 2015, v. 61, n. 11, p. 3739, doi. 10.1002/aic.15032
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Toward more cost-effective and greener chemicals production from shale gas by integrating with bioethanol dehydration: Novel process design and simulation-based optimization.
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- AIChE Journal, 2015, v. 61, n. 4, p. 1209, doi. 10.1002/aic.14713
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Optimal design and operations of supply chain networks for water management in shale gas production: MILFP model and algorithms for the water-energy nexus.
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- AIChE Journal, 2015, v. 61, n. 4, p. 1184, doi. 10.1002/aic.14705
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Multiobjective optimization of product and process networks: General modeling framework, efficient global optimization algorithm, and case studies on bioconversion.
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- AIChE Journal, 2015, v. 61, n. 2, p. 530, doi. 10.1002/aic.14666
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A novel hybrid feedstock to liquids and electricity process: Process modeling and exergoeconomic life cycle optimization.
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- AIChE Journal, 2014, v. 60, n. 11, p. 3739, doi. 10.1002/aic.14551
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Global optimization for sustainable design and synthesis of algae processing network for CO<sub>2</sub> mitigation and biofuel production using life cycle optimization.
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- AIChE Journal, 2014, v. 60, n. 9, p. 3195, doi. 10.1002/aic.14504
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Fair profit allocation in supply chain optimization with transfer price and revenue sharing: MINLP model and algorithm for cellulosic biofuel supply chains.
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- AIChE Journal, 2014, v. 60, n. 9, p. 3211, doi. 10.1002/aic.14511
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Optimal design of water networks for shale gas hydraulic fracturing including economic and environmental criteria.
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- Clean Technologies & Environmental Policy, 2018, v. 20, n. 10, p. 2311, doi. 10.1007/s10098-018-1611-6
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A projection-based reformulation and decomposition algorithm for global optimization of a class of mixed integer bilevel linear programs.
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- Journal of Global Optimization, 2019, v. 73, n. 1, p. 27, doi. 10.1007/s10898-018-0679-1
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Computational evaluation of factors governing catalytic 2-keto acid decarboxylation.
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- Journal of Molecular Modeling, 2014, v. 20, n. 6, p. 1, doi. 10.1007/s00894-014-2310-9
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Molecular design with automated quantum computing-based deep learning and optimization.
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- NPJ Computational Materials, 2023, v. 9, n. 1, p. 1, doi. 10.1038/s41524-023-01099-0
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Life Cycle Network Modeling Framework and Solution Algorithms for Systems Analysis and Optimization of the Water-Energy Nexus.
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- Processes, 2015, v. 3, n. 3, p. 514, doi. 10.3390/pr3030514
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Trend towards virtual and hybrid conferences may be an effective climate change mitigation strategy.
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- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-021-27251-2
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Moving horizon approach of integrating scheduling and control for sequential batch processes.
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- AIChE Journal, 2014, v. 60, n. 5, p. 1654, doi. 10.1002/aic.14359
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Sustainable process design and synthesis of hydrocarbon biorefinery through fast pyrolysis and hydroprocessing.
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- AIChE Journal, 2014, v. 60, n. 3, p. 980, doi. 10.1002/aic.14344
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Global optimization of large-scale mixed-integer linear fractional programming problems: A reformulation-linearization method and process scheduling applications.
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- AIChE Journal, 2013, v. 59, n. 11, p. 4255, doi. 10.1002/aic.14185
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Efficient scheduling method of complex batch processes with general network structure via agent-based modeling.
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- AIChE Journal, 2013, v. 59, n. 8, p. 2884, doi. 10.1002/aic.14101
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Integrated Scheduling and Dynamic Optimization of Sequential Batch Processes with Online Implementation.
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- AIChE Journal, 2013, v. 59, n. 7, p. 2379, doi. 10.1002/aic.14022
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Planning and scheduling of flexible process networks under uncertainty with stochastic inventory: MINLP models and algorithm.
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- AIChE Journal, 2013, v. 59, n. 5, p. 1511, doi. 10.1002/aic.13924
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Sustainable design and synthesis of algae-based biorefinery for simultaneous hydrocarbon biofuel production and carbon sequestration.
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- AIChE Journal, 2013, v. 59, n. 5, p. 1599, doi. 10.1002/aic.14075
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Design under uncertainty of hydrocarbon biorefinery supply chains: Multiobjective stochastic programming models, decomposition algorithm, and a Comparison between CVaR and downside risk.
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- AIChE Journal, 2012, v. 58, n. 7, p. 2155, doi. 10.1002/aic.13844
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Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input-output analysis.
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- AIChE Journal, 2012, v. 58, n. 4, p. 1157, doi. 10.1002/aic.12637
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Mixed-integer dynamic optimization for oil-spill response planning with integration of a dynamic oil weathering model.
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- AIChE Journal, 2011, v. 57, n. 12, p. 3555, doi. 10.1002/aic.12536
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Stochastic inventory management for tactical process planning under uncertainties: MINLP models and algorithms.
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- AIChE Journal, 2011, v. 57, n. 5, p. 1250, doi. 10.1002/aic.12338
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