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Deep learning‐based surrogate modeling and optimization for microalgal biofuel production and photobioreactor design

AIChE journal, 2019-03, Vol.65 (3), p.915-923

2019

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Hybrid physics‐based and data‐driven modeling for bioprocess online simulation and optimization

Biotechnology and bioengineering, 2019-11, Vol.116 (11), p.2919-2930

2019

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Industrial data science - a review of machine learning applications for chemical and process industries

Reaction chemistry & engineering, 2022-06, Vol.7 (7), p.1471-159

2022

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Review of advanced physical and data‐driven models for dynamic bioprocess simulation: Case study of algae–bacteria consortium wastewater treatment

Biotechnology and bioengineering, 2019-02, Vol.116 (2), p.342-353

2019

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Data‐driven coordination of subproblems in enterprise‐wide optimization under organizational considerations

AIChE journal, 2023-04, Vol.69 (4), p.n/a

2023

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Comparison of physics‐based and data‐driven modelling techniques for dynamic optimisation of fed‐batch bioprocesses

Biotechnology and bioengineering, 2019-11, Vol.116 (11), p.2971-2982

2019

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Stochastic data-driven model predictive control using gaussian processes

Computers & chemical engineering, 2020-08, Vol.139, p.106844, Article 106844

2020

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Analysis of green algal growth via dynamic model simulation and process optimization

Biotechnology and bioengineering, 2015-10, Vol.112 (10), p.2025-2039

2015

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Machine learning in process systems engineering: Challenges and opportunities

Computers & chemical engineering, 2024-02, Vol.181, p.108523, Article 108523

2024

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PO-SRPP: A Decentralized Pivoting Path Planning Method for Self-Reconfigurable Satellites

IEEE transactions on industrial electronics (1982), 2024-11, Vol.71 (11), p.14318-14327

2024

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Constrained model-free reinforcement learning for process optimization

Computers & chemical engineering, 2021-11, Vol.154, p.107462, Article 107462

2021

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Human-algorithm collaborative Bayesian optimization for engineering systems

Computers & chemical engineering, 2024-10, Vol.189, p.108810, Article 108810

2024

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Design and planning of flexible mobile Micro-Grids using Deep Reinforcement Learning

Applied energy, 2023-04, Vol.335, p.120707, Article 120707

2023

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A CFD coupled photo-bioreactive transport modelling of tubular photobioreactor mixed by peristaltic pump

Chemical engineering science, 2023-04, Vol.270, p.118525, Article 118525

2023

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A geometric deep learning approach to predict binding conformations of bioactive molecules

Nature machine intelligence, 2021-12, Vol.3 (12), p.1033-1039

2021

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Linearizing nonlinear dynamics using deep learning

Computers & chemical engineering, 2023-02, Vol.170, p.108104, Article 108104

2023

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Production of renewable biohydrogen by Rhodobacter sphaeroides S10: A comparison of photobioreactors

Journal of cleaner production, 2018-04, Vol.181, p.318-328

2018

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Multi-fidelity data-driven design and analysis of reactor and tube simulations

Computers & chemical engineering, 2023-11, Vol.179, p.108410, Article 108410

2023

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Discovery of mixing characteristics for enhancing coiled reactor performance through a Bayesian optimisation-CFD approach

Chemical engineering journal (Lausanne, Switzerland : 1996), 2023-10, Vol.473, p.145217, Article 145217

2023

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An analysis of multi-agent reinforcement learning for decentralized inventory control systems

Computers & chemical engineering, 2024-09, Vol.188, p.108783, Article 108783

2024

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Kinetic modeling and process analysis for Desmodesmus sp. lutein photo‐production

AIChE journal, 2017-07, Vol.63 (7), p.2546-2554

2017

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Integrating process design and control using reinforcement learning

Chemical engineering research & design, 2022-07, Vol.183, p.160-169

2022

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Model-based real-time optimisation of a fed-batch cyanobacterial hydrogen production process using economic model predictive control strategy

Chemical engineering science, 2016-03, Vol.142, p.289-298

2016

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Sustainable biopolymer synthesis via superstructure and multiobjective optimization

AIChE journal, 2018-01, Vol.64 (1), p.91-103

2018

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Synergising biomass growth kinetics and transport mechanisms to simulate light/dark cycle effects on photo‐production systems

Biotechnology and bioengineering, 2021-05, Vol.118 (5), p.1932-1942

2021

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Deep learning‐based surrogate modeling and optimization for microalgal biofuel production and photobioreactor design

Hybrid physics‐based and data‐driven modeling for bioprocess online simulation and optimization

Industrial data science - a review of machine learning applications for chemical and process industries

Review of advanced physical and data‐driven models for dynamic bioprocess simulation: Case study of algae–bacteria consortium wastewater treatment

Data‐driven coordination of subproblems in enterprise‐wide optimization under organizational considerations

Comparison of physics‐based and data‐driven modelling techniques for dynamic optimisation of fed‐batch bioprocesses

Stochastic data-driven model predictive control using gaussian processes

Analysis of green algal growth via dynamic model simulation and process optimization

Machine learning in process systems engineering: Challenges and opportunities

PO-SRPP: A Decentralized Pivoting Path Planning Method for Self-Reconfigurable Satellites

Constrained model-free reinforcement learning for process optimization

Human-algorithm collaborative Bayesian optimization for engineering systems

Design and planning of flexible mobile Micro-Grids using Deep Reinforcement Learning

A CFD coupled photo-bioreactive transport modelling of tubular photobioreactor mixed by peristaltic pump

A geometric deep learning approach to predict binding conformations of bioactive molecules

Linearizing nonlinear dynamics using deep learning

Production of renewable biohydrogen by Rhodobacter sphaeroides S10: A comparison of photobioreactors

Multi-fidelity data-driven design and analysis of reactor and tube simulations

Discovery of mixing characteristics for enhancing coiled reactor performance through a Bayesian optimisation-CFD approach

An analysis of multi-agent reinforcement learning for decentralized inventory control systems

Kinetic modeling and process analysis for Desmodesmus sp. lutein photo‐production

Integrating process design and control using reinforcement learning

Model-based real-time optimisation of a fed-batch cyanobacterial hydrogen production process using economic model predictive control strategy

Sustainable biopolymer synthesis via superstructure and multiobjective optimization

Synergising biomass growth kinetics and transport mechanisms to simulate light/dark cycle effects on photo‐production systems

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