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Dongda Zhang

Showing results (1-10 of 21) with videos related to

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Journal of Chemical Information and Modeling|June 15, 2026
A Data-Efficient Framework for Automated Identification of Reaction Networks and Interpretable Rate ModelsHarry Kay, Dongda Zhang
Biotechnology and Bioengineering|October 2, 2025
Reinforcement Learning for Robust Dynamic Metabolic ControlSebastián Espinel-Ríos, River Walser, Dongda Zhang
Biotechnology and Bioengineering|February 22, 2021
Combining model structure identification and hybrid modelling for photo-production process predictive simulation and optimisationDongda Zhang, Thomas R Savage, Bovinille A Cho
Biotechnology and Bioengineering|July 19, 2019
Hybrid physics-based and data-driven modeling for bioprocess online simulation and optimizationDongda Zhang, Ehecatl Antonio Del Rio-Chanona, Panagiotis Petsagkourakis, et al.
Biotechnology and Bioengineering|July 18, 2025
Interpretable-AI-Based Model Structural Transfer Learning to Accelerate Bioprocess Model ConstructionAlexander W Rogers, Fernando Vega-Ramon, Amanda Lane, et al.
Journal of Chemical Information and Modeling|March 4, 2026
Improving Fidelity and Diversity in Chemical Language Transformers for Inverse Molecular DesignAlexander W Rogers, Ruediger Zillmer, Amanda Lane, et al.
Biotechnology and Bioengineering|April 10, 2015
Analysis of green algal growth via dynamic model simulation and process optimizationDongda Zhang, Ehecatl Antonio Del-Rio Chanona, Vassilios S Vassiliadis, et al.
Metabolic Engineering|October 31, 2024
A multiscale hybrid modelling methodology for cell cultures enabled by enzyme-constrained dynamic metabolic flux analysis under uncertaintyOliver Pennington, Sebastián Espinel Ríos, Mauro Torres Sebastian, et al.
Journal of Cheminformatics|September 30, 2025
MolPrice: assessing synthetic accessibility of molecules based on market valueFriedrich Hastedt, Klaus Hellgardt, Sophia Yaliraki, et al.
Industrial & Engineering Chemistry Research|September 20, 2022
Integrating Autoencoder and Heteroscedastic Noise Neural Networks for the Batch Process Soft-Sensor DesignSam Kay, Harry Kay, Max Mowbray, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Journal of Chemical Information and Modeling|June 15, 2026
A Data-Efficient Framework for Automated Identification of Reaction Networks and Interpretable Rate ModelsHarry Kay, Dongda Zhang
Biotechnology and Bioengineering|October 2, 2025
Reinforcement Learning for Robust Dynamic Metabolic ControlSebastián Espinel-Ríos, River Walser, Dongda Zhang
Biotechnology and Bioengineering|February 22, 2021
Combining model structure identification and hybrid modelling for photo-production process predictive simulation and optimisationDongda Zhang, Thomas R Savage, Bovinille A Cho
Biotechnology and Bioengineering|July 19, 2019
Hybrid physics-based and data-driven modeling for bioprocess online simulation and optimizationDongda Zhang, Ehecatl Antonio Del Rio-Chanona, Panagiotis Petsagkourakis, et al.
Biotechnology and Bioengineering|July 18, 2025
Interpretable-AI-Based Model Structural Transfer Learning to Accelerate Bioprocess Model ConstructionAlexander W Rogers, Fernando Vega-Ramon, Amanda Lane, et al.
Journal of Chemical Information and Modeling|March 4, 2026
Improving Fidelity and Diversity in Chemical Language Transformers for Inverse Molecular DesignAlexander W Rogers, Ruediger Zillmer, Amanda Lane, et al.
Biotechnology and Bioengineering|April 10, 2015
Analysis of green algal growth via dynamic model simulation and process optimizationDongda Zhang, Ehecatl Antonio Del-Rio Chanona, Vassilios S Vassiliadis, et al.
Metabolic Engineering|October 31, 2024
A multiscale hybrid modelling methodology for cell cultures enabled by enzyme-constrained dynamic metabolic flux analysis under uncertaintyOliver Pennington, Sebastián Espinel Ríos, Mauro Torres Sebastian, et al.
Journal of Cheminformatics|September 30, 2025
MolPrice: assessing synthetic accessibility of molecules based on market valueFriedrich Hastedt, Klaus Hellgardt, Sophia Yaliraki, et al.
Industrial & Engineering Chemistry Research|September 20, 2022
Integrating Autoencoder and Heteroscedastic Noise Neural Networks for the Batch Process Soft-Sensor DesignSam Kay, Harry Kay, Max Mowbray, et al.
Pageof 3