Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty von Kim, Jinkyung, Realff, Matthew J., Lee, Jay H.

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Cellulose crystallinity - a key predictor of the enzymatic hydrolysis rate von Hall, Mélanie, Bansal, Prabuddha, Lee, Jay H, Realff, Matthew J, Bommarius, Andreas S

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Statistical kinetic modeling procedure for cationic polymerization and its application to polyisobutylene von Shim, Sang H., Choi, Junkeol, Lee, Seungcheol, Lee, Jay H.

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Design and evaluation of CO2 capture plants for the steelmaking industry by means of amine scrubbing and membrane separation von Chung, Wonseok, Roh, Kosan, Lee, Jay H.

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Energy supply planning and supply chain optimization under uncertainty von Lee, Jay H.

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Multivariate statistical analysis of X-ray data from cellulose: A new method to determine degree of crystallinity and predict hydrolysis rates von Bansal, Prabuddha, Hall, Mélanie, Realff, Matthew J., Lee, Jay H., Bommarius, Andreas S.

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Machine learning: Overview of the recent progresses and implications for the process systems engineering field von Lee, Jay H., Shin, Joohyun, Realff, Matthew J.

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Model predictive control: Review of the three decades of development von Lee, Jay H.

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Soft‐constrained model predictive control based on data‐driven distributionally robust optimization von Lu, Shuwen, Lee, Jay H., You, Fengqi

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Reinforcement Learning – Overview of recent progress and implications for process control von Shin, Joohyun, Badgwell, Thomas A., Liu, Kuang-Hung, Lee, Jay H.

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Input–Output Surrogate Models for Efficient Economic Evaluation of Amine Scrubbing CO2 Capture Processes von Chung, Wonsuk, Lee, Jay H

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Elucidation of cellulose accessibility, hydrolysability and reactivity as the major limitations in the enzymatic hydrolysis of cellulose von Bansal, Prabuddha, Vowell, Bryan J., Hall, Mélanie, Realff, Matthew J., Lee, Jay H., Bommarius, Andreas S.

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Biological pretreatment of cellulose: Enhancing enzymatic hydrolysis rate using cellulose-binding domains from cellulases von Hall, Mélanie, Bansal, Prabuddha, Lee, Jay H., Realff, Matthew J., Bommarius, Andreas S.

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Impacts of deploying co-electrolysis of CO2 and H2O in the power generation sector: A case study for South Korea von Roh, Kosan, Chung, Wonsuk, Lee, Hyejin, Park, Seungman, Lee, Jay H

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Process systems engineering – The generation next? von Pistikopoulos, E N, Barbosa-Povoa, Ana, Lee, Jay H, Misener, Ruth, Mitsos, Alexander, Reklaitis, G V, Venkatasubramanian, V, You, Fengqi, Gani, Rafiqul

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Operational planning and optimal sizing of microgrid considering multi-scale wind uncertainty von Shin, Joohyun, Lee, Jay H., Realff, Matthew J.

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Techno-economic Analysis of Microalgae-Based Lipid Production: Considering Influences of Microalgal Species von Kang, Seongwhan, Heo, Seongmin, Lee, Jay H

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Parallel neural networks for improved nonlinear principal component analysis von Heo, Seongmin, Lee, Jay H.

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State Estimation of the Time-Varying and Spatially Localized Concentration of Signal Molecules from the Stochastic Adsorption Dynamics on the Carbon Nanotube-Based Sensors and Its... von Jang, Hong, Lee, Jay H, Braatz, Richard D

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User-friendly graphical user interface software for ideal adsorbed solution theory calculations von Lee, Sangwon, Lee, Jay H., Kim, Jihan

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