Ghent University Academic Bibliography

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Multi-omics roadmap to plant-derived medicines

Jia-Yu Xue, Si-Jie Liu, Jing Wang, Xin-Cheng Huang, Zhi-Chao Xu, Xiao-Xue Fang, Zhen Li (UGent) and Yves Van de Peer (UGent)

(2025) ENGINEERING.
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- Journal Article
- A1
- open access
Integrating electrochemical CO2 reduction technology for smart, sustainable, and stable in-situ resource utilization for outer-space applications

Paulina Govea Alvarez (UGent) , Zhiyuan Chen, Deepak Pant, Kevin Van Geem (UGent) and Yi Ouyang (UGent)

(2025) ENGINEERING.
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- Miscellaneous
- open access
How can active machine learning aid kinetic model generation, and why should we care?

Yannick Ureel (UGent) , Maarten Dobbelaere (UGent) , Istvan Lengyel (UGent) , Maarten Sabbe (UGent) and Kevin Van Geem (UGent)

(2025) ENGINEERING. 52. p.14-18
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- Journal Article
- A1
- open access
Active machine learning for chemical engineers : a bright future lies ahead!

Yannick Ureel (UGent) , Maarten Dobbelaere (UGent) , Yi Ouyang (UGent) , Kevin De Ras (UGent) , Maarten Sabbe (UGent) , Guy Marin (UGent) and Kevin Van Geem (UGent)

(2023) ENGINEERING. 27. p.23-30
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- Journal Article
- A1
- open access
Machine learning in chemical engineering : strengths, weaknesses, opportunities, and threats

Maarten Dobbelaere (UGent) , Pieter Plehiers, Ruben Van de Vijver (UGent) , Christian Stevens (UGent) and Kevin Van Geem (UGent)

(2021) ENGINEERING. 7(9). p.1201-1211
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- Journal Article
- A1
- open access
Artificial intelligence in steam cracking modeling : a deep learning algorithm for detailed effluent prediction

Pieter Plehiers, Steffen Symoens, Ismaël Amghizar (UGent) , Guy Marin (UGent) , Christian Stevens (UGent) and Kevin Van Geem (UGent)

(2019) ENGINEERING. 5(6). p.1027-1040
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New trends in Olefin production

Ismaël Amghizar (UGent) , Laurien Vandewalle (UGent) , Kevin Van Geem (UGent) and Guy Marin (UGent)

(2018) ENGINEERING. 3(2). p.171-178

Academic Bibliography

Multi-omics roadmap to plant-derived medicines

Integrating electrochemical CO2 reduction technology for smart, sustainable, and stable in-situ resource utilization for outer-space applications

How can active machine learning aid kinetic model generation, and why should we care?

Active machine learning for chemical engineers : a bright future lies ahead!

Machine learning in chemical engineering : strengths, weaknesses, opportunities, and threats

Artificial intelligence in steam cracking modeling : a deep learning algorithm for detailed effluent prediction

New trends in Olefin production

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