Ghent University Academic Bibliography

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Multi-output machine learning models for kinetic data evaluation : a Fischer–Tropsch synthesis case study

Anoop Chakkingal (UGent) , Pieter Janssens (UGent) , Jeroen Poissonnier (UGent) , Mirella Virginie, Andrei Y. Khodakov and Joris Thybaut (UGent)

(2022) CHEMICAL ENGINEERING JOURNAL. 446(4).
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Efficient promoters and reaction paths in the CO2 hydrogenation to light olefins over zirconia-supported iron catalysts

Alan Josue Barrios Medina, Deizi V. Peron, Anoop Chakkingal (UGent) , Achim Iulian Dugulan, Simona Moldovan, Kalthoum Nakouri, Joëlle Thuriot-Roukos, Robert Wojcieszak, Joris Thybaut (UGent) , Mirella Virginie, et al.

(2022) ACS CATALYSIS. 12(5). p.3211-3225
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- Conference Paper
- C3
- open access
Recognition of efficient promoters for light olefin production from CO2 hydrogenation reaction over zirconia supported iron catalysts using high throughput experimentation

Alan Josue Barrios Medina, Deizi Peron, Robert Wojcieszak, Mirella Virginie, Joris Thybaut (UGent) and Andrei Khodakov

(2021) HTCD 2021, First international symposium on High-Throughput Catalysts Design, Abstracts.
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- Conference Paper
- C1
- open access
Bridging kinetic modelling and clustering machine learning approaches for catalyst design

Anoop Chakkingal (UGent) , Pieter Janssens (UGent) , Jeroen Poissonnier (UGent) , Mirella Virginie, Andrei Khodakov and Joris Thybaut (UGent)

(2021) CTS-2021, Chemical Technology Symposium, Proceedings.
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- Journal Article
- A1
- open access
Machine learning based interpretation of microkinetic data : a Fischer-Tropsch synthesis case study

Anoop Chakkingal (UGent) , Pieter Janssens (UGent) , Jeroen Poissonnier (UGent) , Alan Josue Barrios Medina, Mirella Virginie, Andrei Khodakov and Joris Thybaut (UGent)

(2021) REACTION CHEMISTRY & ENGINEERING. 7(1). p.101-110
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- Journal Article
- A1
- open access
Unravelling the influence of catalyst properties on light olefin production via Fischer-Tropsch synthesis : a descriptor space investigation using Single-Event MicroKinetics

Anoop Chakkingal (UGent) , Laura Pirro, Ana Rita Costa da Cruz (UGent) , Alan Josue Barrios Medina, Mirella Virginie, Andrei Y. Khodakov and Joris Thybaut (UGent)

(2021) CHEMICAL ENGINEERING JOURNAL. 419.
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- Miscellaneous
Une solution pour valoriser de déchets plastiques en eléfines légères

Alan Josue Barrios Medina, Anoop Chakkingal (UGent) , Deizi Peron, Mirella Virginie, Robert Wojcieskak, Elisabeth Delbeke (UGent) , Kevin Van Geem (UGent) , Joris Thybaut (UGent) and Andrei Khodakov

(2021) L'ACTUALITÉ CHIMIQUE (PARIS. 1973). 467. p.18-24
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Active phases for high temperature Fischer-Tropsch synthesis in the silica supported iron catalysts promoted with antimony and tin

Deizi V. Peron, Alan Josue Barrios Medina, Alan Taschin, Iulian Dugulan, Carlo Marini, Giulio Gorni, Simona Moldovan, Siddardha Koneti, Robert Wojcieszak, Joris Thybaut (UGent) , et al.

(2021) APPLIED CATALYSIS B-ENVIRONMENTAL. 292.
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- Journal Article
- A1
- open access
Bismuth mobile promoter and cobalt-bismuth nanoparticles in carbon nanotube supported Fischer-Tropsch catalysts with enhanced stability

Bang Gu, Deizi V. Peron, Alan Josue Barrios Medina, Mirella Virginie, Camille La Fontaine, Valérie Briois, Mykhailo Vorokhta, Břetislav Šmíd, Simona Moldovan, Siddardha Koneti, et al.

(2021) JOURNAL OF CATALYSIS. 401. p.102-114
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Effect of Rh in Ni-based catalysts on sulfur impurities during methane reforming

Stavros-Alexandros Theofanidis (UGent) , Johannis A. Z. Pieterse, Hilde Poelman (UGent) , Alessandro Longo (UGent) , Maarten Sabbe (UGent) , Mirella Virginie, Christophe Detavernier (UGent) , Guy Marin (UGent) and Vladimir Galvita (UGent)

(2020) APPLIED CATALYSIS B-ENVIRONMENTAL. 267.

Academic Bibliography

Multi-output machine learning models for kinetic data evaluation : a Fischer–Tropsch synthesis case study

Efficient promoters and reaction paths in the CO2 hydrogenation to light olefins over zirconia-supported iron catalysts

Recognition of efficient promoters for light olefin production from CO2 hydrogenation reaction over zirconia supported iron catalysts using high throughput experimentation

Bridging kinetic modelling and clustering machine learning approaches for catalyst design

Machine learning based interpretation of microkinetic data : a Fischer-Tropsch synthesis case study

Unravelling the influence of catalyst properties on light olefin production via Fischer-Tropsch synthesis : a descriptor space investigation using Single-Event MicroKinetics

Une solution pour valoriser de déchets plastiques en eléfines légères

Active phases for high temperature Fischer-Tropsch synthesis in the silica supported iron catalysts promoted with antimony and tin

Bismuth mobile promoter and cobalt-bismuth nanoparticles in carbon nanotube supported Fischer-Tropsch catalysts with enhanced stability

Effect of Rh in Ni-based catalysts on sulfur impurities during methane reforming

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