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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1,721 to 1,730 of 1,794 Results
X75_40000.ibw
May 17, 2021 - Data for: Memristors as synapses for neuromorphic computing
Unknown - 1.6 MB - MD5: 7ffb2bcbed4ea8c33f3db1c3e5834ee3
X90_40006.ibw
May 17, 2021 - Data for: Memristors as synapses for neuromorphic computing
Unknown - 1.6 MB - MD5: d2aa2df7cc7b4f7a1aa7f40bdf758181
2018-T1-002-092 (Nanyang Technological University)
May 17, 2021
acscatal.tar
Apr 15, 2021 - Data for Single Site Biatomic Metal Catalysts for Electrochemical Oxygen Reduction
TAR Archive - 322.8 MB - MD5: 9dce4a0686b165e9629559a1d552d117
Single Site Biatomic Metal Catalysts for Electrochemical Oxygen Reduction(Nanyang Technological University)
Apr 15, 2021
Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces(Nanyang Technological University)
Mar 23, 2021
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.
a12Peg0.gro
Mar 22, 2021 - Dataset from Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces through Artificial Intelligence Project
Unknown - 19.2 MB - MD5: 43fe05cb9d6a452efdc52860e7e4b9f1
a12Peg140.gro
Mar 22, 2021 - Dataset from Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces through Artificial Intelligence Project
Unknown - 19.2 MB - MD5: f22062313f218eaf34a559f8d9d75122
a12Peg200.gro
Mar 22, 2021 - Dataset from Quantify Polyhedral Nanoparticle Orientation at Fluid/Fluid Interfaces through Artificial Intelligence Project
Unknown - 19.2 MB - MD5: 963e5150c234d9a706361c39aa27b4be
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