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3,131 to 3,140 of 8,079 Results

SG Academies South-East Asia Fellowship (SASEAF) Programme(Nanyang Technological University) Oct 12, 2023LI Shuzhou
Replication Data for: Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx–CoPi Catalysts Oct 11, 2023 - ACS Applied Energy Materials Ahmed, Mahmoud; Nguyen, Thi Hiep; Zhang, Mengyuan; Halevi, Oded; Abdi, Fatwa F.; Magdassi, Shlomo; Wong, Lydia Helena, 2023, "Replication Data for: Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx–CoPi Catalysts", https://doi.org/10.21979/N9/AJJSHR, DR-NTU (Data), V1 Raw data for the article titled "Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx–CoPi Catalysts"
Raw data for Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx−CoPi Catalysts.pptm Oct 11, 2023 - Replication Data for: Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx–CoPi Catalysts application/vnd.ms-powerpoint.presentation.macroEnabled.12 - 3.5 MB - MD5: 842b8f6442437e96670788fdee894871 Raw data for article titled: Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx−CoPi Catalysts.pptm
ACS Applied Energy Materials(Nanyang Technological University) Oct 11, 2023Mahmoud Ahmed The dataset contains the raw data for the paper published in ACS Applied Energy Materials titled as: Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx–CoPi Catalysts (21 Jul 2023)
Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning Oct 10, 2023 - Project: Catalyst design principle in low temperature methane activation and conversion through machine learning Liu, Jiyuan, 2023, "Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning", https://doi.org/10.21979/N9/2MGYW2, DR-NTU (Data), V1 data for Catalyst design principle in low temperature methane activation and conversion through machine learning
NOR_NiFeCOF.tgz Oct 10, 2023 - Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning Compressed Archive - 2.8 GB - MD5: aafb7389af46f8134a5f12ed37174348
rucl_gdy.tgz Oct 10, 2023 - Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning Compressed Archive - 373.2 MB - MD5: ce4d1cd8049296c23c32693dc4266f19
Project: Catalyst design principle in low temperature methane activation and conversion through machine learning(Nanyang Technological University) Oct 10, 2023LI Shuzhou data for project "Catalyst design principle in low temperature methane activation and conversion through machine learning"
Efficient Ternary Mn-Based Spinel Oxide with Multiple Active Sites for Oxygen Evolution Reaction Discovered via High-Throughput Screening Methods Oct 3, 2023 - Mahmoud Ahmed Ahmed, Mahmoud, 2023, "Efficient Ternary Mn-Based Spinel Oxide with Multiple Active Sites for Oxygen Evolution Reaction Discovered via High-Throughput Screening Methods", https://doi.org/10.21979/N9/CUJXTP, DR-NTU (Data), V1 The dataset contains the raw data for the paper published in Small (Nano&Micro) titled as: Efficient Ternary Mn-Based Spinel Oxide with Multiple Active Sites for Oxygen Evolution Reaction Discovered via High-Throughput Screening Methods
Raw data for Small paper.pptx Oct 3, 2023 - Efficient Ternary Mn-Based Spinel Oxide with Multiple Active Sites for Oxygen Evolution Reaction Discovered via High-Throughput Screening Methods MS Powerpoint - 28.5 MB - MD5: 0291a3a00215ae965aa4a1530c8e4ee5

SG Academies South-East Asia Fellowship (SASEAF) Programme(Nanyang Technological University)

Oct 12, 2023LI Shuzhou

Replication Data for: Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx–CoPi Catalysts

Oct 11, 2023 - ACS Applied Energy Materials

Ahmed, Mahmoud; Nguyen, Thi Hiep; Zhang, Mengyuan; Halevi, Oded; Abdi, Fatwa F.; Magdassi, Shlomo; Wong, Lydia Helena, 2023, "Replication Data for: Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx–CoPi Catalysts", https://doi.org/10.21979/N9/AJJSHR, DR-NTU (Data), V1

Raw data for the article titled "Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx–CoPi Catalysts"

Raw data for Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx−CoPi Catalysts.pptm

Oct 11, 2023 - Replication Data for: Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx–CoPi Catalysts

application/vnd.ms-powerpoint.presentation.macroEnabled.12 - 3.5 MB -

Raw data for article titled: Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx−CoPi Catalysts.pptm

ACS Applied Energy Materials(Nanyang Technological University)

Oct 11, 2023Mahmoud Ahmed

The dataset contains the raw data for the paper published in ACS Applied Energy Materials titled as: Enhancing Photoelectrochemical Performance of the Printed Nanoporous FeVO4 Photoanode by Dual-Layer CoOx–CoPi Catalysts (21 Jul 2023)

Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning

Oct 10, 2023 - Project: Catalyst design principle in low temperature methane activation and conversion through machine learning

Liu, Jiyuan, 2023, "Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning", https://doi.org/10.21979/N9/2MGYW2, DR-NTU (Data), V1

data for Catalyst design principle in low temperature methane activation and conversion through machine learning

NOR_NiFeCOF.tgz

Oct 10, 2023 - Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning

Compressed Archive - 2.8 GB -

rucl_gdy.tgz

Oct 10, 2023 - Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning

Compressed Archive - 373.2 MB -

Project: Catalyst design principle in low temperature methane activation and conversion through machine learning(Nanyang Technological University)

Oct 10, 2023LI Shuzhou

data for project "Catalyst design principle in low temperature methane activation and conversion through machine learning"

Efficient Ternary Mn-Based Spinel Oxide with Multiple Active Sites for Oxygen Evolution Reaction Discovered via High-Throughput Screening Methods

Oct 3, 2023 - Mahmoud Ahmed

Ahmed, Mahmoud, 2023, "Efficient Ternary Mn-Based Spinel Oxide with Multiple Active Sites for Oxygen Evolution Reaction Discovered via High-Throughput Screening Methods", https://doi.org/10.21979/N9/CUJXTP, DR-NTU (Data), V1

The dataset contains the raw data for the paper published in Small (Nano&Micro) titled as: Efficient Ternary Mn-Based Spinel Oxide with Multiple Active Sites for Oxygen Evolution Reaction Discovered via High-Throughput Screening Methods

Raw data for Small paper.pptx

Oct 3, 2023 - Efficient Ternary Mn-Based Spinel Oxide with Multiple Active Sites for Oxygen Evolution Reaction Discovered via High-Throughput Screening Methods

MS Powerpoint - 28.5 MB -

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