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Maximizing batch fermentation efficiency by constrained model‐based optimization and predictive control of adenosine triphosphate turnover

AIChE journal, 2022-04, Vol.68 (4), p.n/a

2022

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Toward a modeling, optimization, and predictive control framework for fed‐batch metabolic cybergenetics

Biotechnology and bioengineering, 2024-01, Vol.121 (1), p.366-379

2024

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Hybrid Physics-Informed Metabolic Cybergenetics: Process Rates Augmented with Machine-Learning Surrogates Informed by Flux Balance Analysis

Industrial & engineering chemistry research, 2024-04, Vol.63 (15), p.6685-6700

2024

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Optimization of biological pretreatment to enhance the quality of wheat straw pellets

Biomass & bioenergy, 2017-02, Vol.97, p.77-89

2017

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Dynamic Multiscale Hybrid Modelling of a CHO cell system for Recombinant Protein Production

IFAC-PapersOnLine, 2024, Vol.58 (14), p.133-138

2024

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A multiscale hybrid modelling methodology for cell cultures enabled by enzyme-constrained dynamic metabolic flux analysis under uncertainty

Metabolic engineering, 2024-11, Vol.86, p.274-287

2024

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Enabling anaerobic growth of Escherichia coli on glycerol in defined minimal medium using acetate as redox sink

Metabolic engineering, 2022-09, Vol.73, p.50-57

2022

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Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models

Process biochemistry (1991), 2024-08, Vol.143, p.174-185

2024

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Machine learning-supported cybergenetic modeling, optimization and control for synthetic microbial communities

Computer Aided Chemical Engineering, 2023, Vol.52, p.2601-2606

2023

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Linking intra- and extra-cellular metabolic domains via neural-network surrogates for dynamic metabolic control

IFAC-PapersOnLine, 2024, Vol.58 (23), p.115-120

2024

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Efficient and Simple Gaussian Process Supported Stochastic Model Predictive Control for Bioreactors using HILO-MPC

IFAC-PapersOnLine, 2022, Vol.55 (7), p.922-927

2022

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Optimal control and dynamic modulation of the ATPase gene expression for enforced ATP wasting in batch fermentations

IFAC-PapersOnLine, 2022, Vol.55 (7), p.174-180

2022

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Soft sensor for monitoring dynamic changes in cell composition

IFAC-PapersOnLine, 2022, Vol.55 (23), p.98-103

2022

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Monitoring intracellular metabolite concentrations by moving horizon estimation based on kinetic modeling

IFAC-PapersOnLine, 2023, Vol.56 (2), p.4608-4613

2023

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Cell-free biosynthesis meets dynamic optimization and control: a fed-batch framework

IFAC-PapersOnLine, 2022, Vol.55 (23), p.92-97

2022

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Dynamic Multiscale Hybrid Modelling of a CHO cell system for Recombinant Protein Production

Computer Aided Chemical Engineering, 2024, Vol.53, p.43-48

2024

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Batch-to-Batch Optimization with Model Adaptation Leveraging Gaussian Processes: The Case of Optogenetically Assisted Microbial Consortia

2023 23rd International Conference on Control, Automation and Systems (ICCAS), 2023, p.1292-1297

2023

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Maximizing batch fermentation efficiency by constrained model‐based optimization and predictive control of adenosine triphosphate turnover

Toward a modeling, optimization, and predictive control framework for fed‐batch metabolic cybergenetics

Hybrid Physics-Informed Metabolic Cybergenetics: Process Rates Augmented with Machine-Learning Surrogates Informed by Flux Balance Analysis

Optimization of biological pretreatment to enhance the quality of wheat straw pellets

Dynamic Multiscale Hybrid Modelling of a CHO cell system for Recombinant Protein Production

A multiscale hybrid modelling methodology for cell cultures enabled by enzyme-constrained dynamic metabolic flux analysis under uncertainty

Enabling anaerobic growth of Escherichia coli on glycerol in defined minimal medium using acetate as redox sink

Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models

Machine learning-supported cybergenetic modeling, optimization and control for synthetic microbial communities

Linking intra- and extra-cellular metabolic domains via neural-network surrogates for dynamic metabolic control

Efficient and Simple Gaussian Process Supported Stochastic Model Predictive Control for Bioreactors using HILO-MPC

Optimal control and dynamic modulation of the ATPase gene expression for enforced ATP wasting in batch fermentations

Soft sensor for monitoring dynamic changes in cell composition

Monitoring intracellular metabolite concentrations by moving horizon estimation based on kinetic modeling

Cell-free biosynthesis meets dynamic optimization and control: a fed-batch framework

Dynamic Multiscale Hybrid Modelling of a CHO cell system for Recombinant Protein Production

Batch-to-Batch Optimization with Model Adaptation Leveraging Gaussian Processes: The Case of Optogenetically Assisted Microbial Consortia

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