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21 to 30 of 111 Results
Data for: Harnessing Gradients for Self-Assembly of Peptide-Based Nanocapsules: A Pathway to Advanced Drug Delivery Systems
Data for: Harnessing Gradients for Self-Assembly of Peptide-Based Nanocapsules: A Pathway to Advanced Drug Delivery Systems
Nov 15, 2023 - Li Haopeng
Li, Haopeng; Qian, Xuliang; Mohanram, Harini; Han, Xiao; Qi, Huitang; Zou, Guijin; Yuan, Fenghou; Miserez, Ali; Yang, Qing; Liu, Tian; Gao, Huajian; Yu, Jing, 2023, "Data for: Harnessing Gradients for Self-Assembly of Peptide-Based Nanocapsules: A Pathway to Advanced Drug Delivery Systems", https://doi.org/10.21979/N9/DJV2BM, DR-NTU (Data), V1, UNF:6:5i9KYs/d6iRmA5IIUOTTHA== [fileUNF]
Data for the paper: Harnessing Gradient-Mediated Self-Assembly for Peptide-Based Nanocapsules: A Pathway to Advanced Drug Delivery Systems
Dual-Conductive and Stiffness-Morphing Microneedle Patch Enables Continuous in Planta Monitoring of Electrophysiological Signal and Ion Fluctuation
Dual-Conductive and Stiffness-Morphing Microneedle Patch Enables Continuous in Planta Monitoring of Electrophysiological Signal and Ion Fluctuation
Nov 14, 2023 - KONG Lingxuan
Kong, Lingxuan; Wen, Hanqi; Luo, Yifei; Chen, Xiaodong; Sheng, Xing; Liu, Yuxin; Chen, Peng, 2023, "Dual-Conductive and Stiffness-Morphing Microneedle Patch Enables Continuous in Planta Monitoring of Electrophysiological Signal and Ion Fluctuation", https://doi.org/10.21979/N9/4D5WR2, DR-NTU (Data), V1
The use of conductive microneedles presents a promising solution for achieving high-fidelity electrophysiological recordings with minimal impact on interfaced tissue. However, conventional metal-based microneedle suffers from high electrochemical impedance and mechanical mismatch...
Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Oct 31, 2023 - Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Chen Xi, 2023, "Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning", https://doi.org/10.21979/N9/QR3JP5, DR-NTU (Data), V1
Data generated during project: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Replication Data for: Bridging the gap between electrical double-layer and faraday intercalation with nanoconfinement
Replication Data for: Bridging the gap between electrical double-layer and faraday intercalation with nanoconfinement
Oct 30, 2023 - Jiaqi's utilizing nanoconfined capacitive oligomerization dataverse
Wei, Jiaqi, 2023, "Replication Data for: Bridging the gap between electrical double-layer and faraday intercalation with nanoconfinement", https://doi.org/10.21979/N9/L4DZ77, DR-NTU (Data), V1, UNF:6:RlyAZPvOH4uUOHotfDcckw== [fileUNF]
Raw data for: bridging the gap between electrical double-layer and faraday intercalation with nanoconfinement
Replication Data for: Quantifying ion solvation n structure evolution in carbon micropores
Oct 30, 2023 - Jiaqi's utilizing nanoconfined capacitive oligomerization dataverse
Wei, Jiaqi, 2023, "Replication Data for: Quantifying ion solvation n structure evolution in carbon micropores", https://doi.org/10.21979/N9/SBPTFT, DR-NTU (Data), V1
Raw data for: quantifying ion solvation n structure evolution in carbon micropores
Replication Data for: Unravelling nanoconfined electrochemical ion adsorption and intercalation using in situ XAS n XRD-PD data
Oct 30, 2023 - Jiaqi's utilizing nanoconfined capacitive oligomerization dataverse
Wei, Jiaqi, 2023, "Replication Data for: Unravelling nanoconfined electrochemical ion adsorption and intercalation using in situ XAS n XRD-PD data", https://doi.org/10.21979/N9/1JBXD0, DR-NTU (Data), V1
Raw data for: unravelling nanoconfined electrochemical ion adsorption and intercalation using in situ XAS n XRD-PD
Replication Data for: Unravelling nanoconfined electrochemical ion adsorption and intercalation using in situ XAS n XRD-XAS data
Oct 30, 2023 - Jiaqi's utilizing nanoconfined capacitive oligomerization dataverse
Wei, Jiaqi, 2023, "Replication Data for: Unravelling nanoconfined electrochemical ion adsorption and intercalation using in situ XAS n XRD-XAS data", https://doi.org/10.21979/N9/VX1BN3, DR-NTU (Data), V1
Raw data for: unravelling nanoconfined electrochemical ion adsorption and intercalation using in situ XAS n XRD-XAS
Replication Data for: Unveiling the Impact of Organic Spacer Cations on Auger Recombination in Layered Halide Perovskites
Oct 18, 2023 - Furuhashi Tomoki
Furuhashi, Tomoki; Kanwat, Anil; Ramesh, Sankaran; Mathews, Nripan; Sum, Tze Chien, 2023, "Replication Data for: Unveiling the Impact of Organic Spacer Cations on Auger Recombination in Layered Halide Perovskites", https://doi.org/10.21979/N9/FZSD9T, DR-NTU (Data), V1
This data set contains transient absorption data for the paper "Unveiling the Impact of Organic Spacer Cations on Auger Recombination in Layered Halide Perovskites"
Related data for: SG Academies South-East Asia Fellowship (SASEAF) Programme
Oct 12, 2023 - SG Academies South-East Asia Fellowship (SASEAF) Programme
Gagus, 2023, "Related data for: SG Academies South-East Asia Fellowship (SASEAF) Programme", https://doi.org/10.21979/N9/CVT2WB, DR-NTU (Data), V1
Data for Singapore academies south-east Asia fellowship programme
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"
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