Appointment: Associate Professor, School of Material Science & Engineering

Assistant Chair, Graduate Studies and Lifelong Learning

Research topics:

• developing high sensitive substrates for surface-enhanced Raman scattering and fluorescence

• optical properties of metal-semiconductor nanostructures

• assembly of metallic nanostructures

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1 to 10 of 12 Results
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
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
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
Data for: Memristors as synapses for neuromorphic computing
Data for: Memristors as synapses for neuromorphic computing
May 13, 2022 - 2018-T1-002-092
Wang, Junling, 2021, "Data for: Memristors as synapses for neuromorphic computing", https://doi.org/10.21979/N9/TK1GDN, DR-NTU (Data), V2, UNF:6:izFLoS3mzigVzaqMjYYFCw== [fileUNF]
Research data from project "Memristors as synapses for neuromorphic computing"
Data for Single Site Biatomic Metal Catalysts for Electrochemical Oxygen Reduction
Mar 8, 2022 - Single Site Biatomic Metal Catalysts for Electrochemical Oxygen Reduction
Li, Shuzhou, 2021, "Data for Single Site Biatomic Metal Catalysts for Electrochemical Oxygen Reduction", https://doi.org/10.21979/N9/VU36DZ, DR-NTU (Data), V2
Unconventional Oxygen Reduction Reaction Mechanism and Scaling Relation on Single-Atom Catalysts
Dataset from Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces through Artificial Intelligence Project
Mar 22, 2021 - Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces
Li, Shuzhou, 2021, "Dataset from Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces through Artificial Intelligence Project", https://doi.org/10.21979/N9/9WIQMA, DR-NTU (Data), V1
Data from Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces through Artificial Intelligence Project. Mainly Gromacs raw data.
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