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31 to 40 of 111 Results
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
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
Replication Data for: Bifacial, Color-Tunable Semitransparent Perovskite Solar Cells for Building-Integrated Photovoltaics
Replication Data for: Bifacial, Color-Tunable Semitransparent Perovskite Solar Cells for Building-Integrated Photovoltaics
Sep 28, 2023 - WANG Hao
Wang, Hao; Dewi, Herlina Arianita; Koh, Teck Ming; Bruno, Annalisa; Mhaisalkar, Subodh; Mathews, Nripan, 2020, "Replication Data for: Bifacial, Color-Tunable Semitransparent Perovskite Solar Cells for Building-Integrated Photovoltaics", https://doi.org/10.21979/N9/NDEFOW, DR-NTU (Data), V2
Efficient bifacial colorful ST-PSCs were demonstrated using copper thiocyanate (CuSCN), as a holetransporting material, in an n−i−p architecture. The n−i−p ST-PSCs exhibit the highest reported bifacial factor of 93.7% and achieve a bifacial equivalent efficiency of 22.1% when ill...
Replication Data for: Elucidating the Role of Chalcogenide-Based Interface Passivators in Enhancing the Stability of Perovskite Solar Cells
Sep 27, 2023 - Anupam Sadhu
Sadhu, Anupam, 2023, "Replication Data for: Elucidating the Role of Chalcogenide-Based Interface Passivators in Enhancing the Stability of Perovskite Solar Cells", https://doi.org/10.21979/N9/RHG0HR, DR-NTU (Data), V1
The dataset contains the raw data for the paper published in advanced functional materials titled as: Elucidating the Role of Chalcogenide-Based Interface Passivators in Enhancing the Stability of Perovskite Solar Cells
Angle-independent solar radiation capture by 3D printed lattice structures for efficient photoelectrochemical water splitting
Sep 26, 2023 - Chidanand Hegde
Hegde, Chidanand, 2023, "Angle-independent solar radiation capture by 3D printed lattice structures for efficient photoelectrochemical water splitting", https://doi.org/10.21979/N9/MGC114, DR-NTU (Data), V1
Raw data
Replication Data for: Semitransparent perovskite solar cells with > 13% efficiency and 27% transperancy using plasmonic Au nanorods
Sep 14, 2023 - LIE Stener
Lie, Stener; Bruno, Annalisa; Wong, Lydia Helena; Etgar, Lioz, 2023, "Replication Data for: Semitransparent perovskite solar cells with > 13% efficiency and 27% transperancy using plasmonic Au nanorods", https://doi.org/10.21979/N9/KQB3GN, DR-NTU (Data), V1
Related Data for: Semitransparent perovskite solar cells with> 13% efficiency and 27% transperancy using plasmonic Au nanorods
Replication Data for: Ordered Mesoporous Alumina with Tunable Morphologies and PoreSizes for CO2Capture and Dye Separation
Aug 4, 2023 - Wang Leyan
Seah, Geok Leng; Wang, Leyan; Tan, Li Fang; Tipjanrawee, Chanikarn; Sasangka, Wardhana A.; Usadi, Adam K.; McConnachie, Jonathan M.; Tan, Kwan W., 2023, "Replication Data for: Ordered Mesoporous Alumina with Tunable Morphologies and PoreSizes for CO2Capture and Dye Separation", https://doi.org/10.21979/N9/OLXPBS, DR-NTU (Data), V1
This dataset contains all raw data in the publication titled with "Ordered Mesoporous Alumina with Tunable Morphologies and Pore Sizes for CO2 Capture and Dye Separation"
Replication Data for: Ultrafast Crystallization of Ordered Mesoporous Metal Oxides and Carbon from Block Copolymer Self-Assembly and Joule Heating
Aug 4, 2023 - Wang Leyan
Wang, Leyan; Seah, Geok Leng; Li, Yun; Tu, Wei Han; Manalastas Jr., William; Reavley, Matthew J.-H.; Corcoran Jr., Edward W.; Usadi, Adam K.; Du, Zehui; Madhavi, Srinivasan; McConnachie, Jonathan M.; Ong, Hock Guan; Tan, Kwan W., 2023, "Replication Data for: Ultrafast Crystallization of Ordered Mesoporous Metal Oxides and Carbon from Block Copolymer Self-Assembly and Joule Heating", https://doi.org/10.21979/N9/9JYA5Y, DR-NTU (Data), V1
This dataset contains all raw data in the publication titled with "Ultrafast Crystallization of Ordered Mesoporous Metal Oxides and Carbon from Block Copolymer Self-Assembly and Joule Heating"
Related Data for: Potent-By-Design: Amino Acids Mimicking Porous Nanotherapeutics with Intrinsic Anticancer Targeting Properties
Jul 31, 2023 - Lim Hong Kit
Lim, Hong Kit; Wu, Zhuoran; Tan, Shao Jie; Gautam, Archana; Hou, Han Wei; Ng, Kee Woei; Tan, Nguan Soon; Tay, Chor Yong, 2023, "Related Data for: Potent-By-Design: Amino Acids Mimicking Porous Nanotherapeutics with Intrinsic Anticancer Targeting Properties", https://doi.org/10.21979/N9/UNQAHC, DR-NTU (Data), V1
This dataset contains original graphical experimental data for some of the figures in the publication.
Related Data for: Nanoparticle-induced chemo-resistance: the emerging modulatory effects of engineered nanomaterials on human intestinal cancer cell redox metabolic adaptation
Jul 31, 2023 - Lim Hong Kit
Lim, Hong Kit; Wu, Zhuoran; Setyawati, Magdiel Inggrid; Ng, Kee Woei; Tay, Chor Yong, 2023, "Related Data for: Nanoparticle-induced chemo-resistance: the emerging modulatory effects of engineered nanomaterials on human intestinal cancer cell redox metabolic adaptation", https://doi.org/10.21979/N9/GXLLW5, DR-NTU (Data), V1, UNF:6:rLL7FVFdp8mIPe2IQe6G8g== [fileUNF]
This dataset contains original graphical experimental data for some of the figures in the publication.
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