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Data for: Composition-Dependent Morphologies of CeO2 Nanoparticles in the Presence of Co-Adsorbed H2O and CO2: A Density Functional Theory Study
Data for: Composition-Dependent Morphologies of CeO2 Nanoparticles in the Presence of Co-Adsorbed H2O and CO2: A Density Functional Theory Study
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Data for: Composition-Dependent Morphologies of CeO2 Nanoparticles in the Presence of Co-Adsorbed H2O and CO2: A Density Functional Theory Study

Molinari, Marco

Mendeley Data 2026

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2
Data for: Composition-Dependent Morphologies of CeO2 Nanoparticles in the Presence of Co-Adsorbed H2O and CO2: A Density Functional Theory Study
Data for: Composition-Dependent Morphologies of CeO2 Nanoparticles in the Presence of Co-Adsorbed H2O and CO2: A Density Functional Theory Study
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Data for: Composition-Dependent Morphologies of CeO2 Nanoparticles in the Presence of Co-Adsorbed H2O and CO2: A Density Functional Theory Study

Molinari, Marco

Mendeley Data 2026

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3
Coupling photocatalytic of CO2 reduction and CH3OH oxidation for selective dimethoxymethane production
Coupling photocatalytic of CO2 reduction and CH3OH oxidation for selective dimethoxymethane production
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Coupling photocatalytic of CO2 reduction and CH3OH oxidation for selective dimethoxymethane production

Wang, Yixuan ; Lee, Hyoyoung

figshare 2024

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4
Data underlying the publication: Probing Machine Learning Models Based on High-Throughput Experimentation Data for the Discovery of Asymmetric Hydrogenation Catalysts
Data underlying the publication: Probing Machine Learning Models Based on High-Throughput Experimentation Data for the Discovery of Asymmetric Hydrogenation Catalysts
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Data underlying the publication: Probing Machine Learning Models Based on High-Throughput Experimentation Data for the Discovery of Asymmetric Hydrogenation Catalysts

Kalikadien, Adarsh V. ; Valsecchi, Cecile ; van Putten, Robbert ; Maes, Tor ; Muuronen, Mikko ; Dyubankova, Natalia ; Lefort, Laurent ; Pidko, Evgeny

4TU.ResearchData 2024

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5
Atom-by-atom design of Cu/ZrOx cluster on MgO for CO2 hydrogenation using liquid-phase atomic layer deposition
Atom-by-atom design of Cu/ZrOx cluster on MgO for CO2 hydrogenation using liquid-phase atomic layer deposition
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Atom-by-atom design of Cu/ZrOx cluster on MgO for CO2 hydrogenation using liquid-phase atomic layer deposition

Jin, Seongmin ; Kwon, Choah ; Bugaev, Aram ; Karakurt, Bartu ; Lin, Yu-Cheng ; Savereide, Louisa ; Zhong, Liping ; Boureau, Victor ; Safonova, Olga ; Kim, Sangtae ; Luterbacher, Jeremy

Zenodo 2024

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6
Data underlying the publication: Probing Machine Learning Models Based on High-Throughput Experimentation Data for the Discovery of Asymmetric Hydrogenation Catalysts
Data underlying the publication: Probing Machine Learning Models Based on High-Throughput Experimentation Data for the Discovery of Asymmetric Hydrogenation Catalysts
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Data underlying the publication: Probing Machine Learning Models Based on High-Throughput Experimentation Data for the Discovery of Asymmetric Hydrogenation Catalysts

Kalikadien, Adarsh V. ; Valsecchi, Cecile ; van Putten, Robbert ; Maes, Tor ; Muuronen, Mikko ; Dyubankova, Natalia ; Lefort, Laurent ; Pidko, Evgeny

4TU.ResearchData 2024

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7
Comparative data on different preparation methods of RuCeO2 catalysts for catalytic oxidation of chlorine-containing volatile organic compounds
Comparative data on different preparation methods of RuCeO2 catalysts for catalytic oxidation of chlorine-containing volatile organic compounds
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Comparative data on different preparation methods of RuCeO2 catalysts for catalytic oxidation of chlorine-containing volatile organic compounds

Bing, HAN

Mendeley Data 2024

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8
Comparative data on different preparation methods of RuCeO2 catalysts for catalytic oxidation of chlorine-containing volatile organic compounds
Comparative data on different preparation methods of RuCeO2 catalysts for catalytic oxidation of chlorine-containing volatile organic compounds
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Comparative data on different preparation methods of RuCeO2 catalysts for catalytic oxidation of chlorine-containing volatile organic compounds

Bing, HAN

Mendeley Data 2024

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9
Dataset from "Combining Nickel- and Zinc-Porphyrin Sites via Covalent Organic Frameworks for Electrochemical CO2 Reduction"
Dataset from "Combining Nickel- and Zinc-Porphyrin Sites via Covalent Organic Frameworks for Electrochemical CO2 Reduction"
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Dataset from "Combining Nickel- and Zinc-Porphyrin Sites via Covalent Organic Frameworks for Electrochemical CO2 Reduction"

Veldhuizen, Hugo ; Abdinejad, Maryam ; Gilissen, Pieter ; Burdyny, Thomas ; Tichelaar, Frans D. ; van der Zwaag, S. (Sybrand) ; Van Der Veen, Monique ; Albertsma, Jelco

4TU.ResearchData 2024

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10
Dataset from "Combining Nickel- and Zinc-Porphyrin Sites via Covalent Organic Frameworks for Electrochemical CO2 Reduction"
Dataset from "Combining Nickel- and Zinc-Porphyrin Sites via Covalent Organic Frameworks for Electrochemical CO2 Reduction"
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Dataset from "Combining Nickel- and Zinc-Porphyrin Sites via Covalent Organic Frameworks for Electrochemical CO2 Reduction"

Veldhuizen, Hugo ; Abdinejad, Maryam ; Gilissen, Pieter ; Burdyny, Thomas ; Tichelaar, Frans D. ; van der Zwaag, S. (Sybrand) ; Van Der Veen, Monique ; Albertsma, Jelco

4TU.ResearchData 2024

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