The Centre for Disruptive Photonic Technologies (CDPT) aspires to be a world-leading player in developing the next stage of the photonic revolution by mobilising the resources and interdisciplinary expertise available at NTU and with our collaboration partners in Singapore, Europe, USA, Australia and Far East, to create a world-leading research activity on disruptive photonic technologies.

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Figure 1e. EL_gate dependence.tab
Apr 26, 2023 - Replication Data for: Directional emission from electrically injected exciton polaritons in perovskite metasurfaces
Tabular Data - 69.7 KB - 8 Variables, 1601 Observations - UNF:6:JzVyOQ2mvusRc2OFm2Mo7Q==
EL spectra with different gate voltage for Figure 1e.
WANG YuTao(Nanyang Technological University)
Apr 6, 2023
Appointment: PhD Student (Graduated)
Tian Jingyi(Nanyang Technological University)
Feb 23, 2023
Appointment: Research Fellow
Fig_2B_2C_2D_Salisbury screen SNSPD__ff=05.ipynb
Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication
Jupyter Notebook - 594.3 KB - MD5: 4d4b46741c6f2ab64ab3f8ce554a51f6
Data for figures 2B, 2C, and 2D in the .ipynb file extension.
Fig_2B_2C_2D_Salisbury screen SNSPD__ff=05.py
Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication
Python Source Code - 29.9 KB - MD5: 56cdd15673dc62238eaaf06db5be6c25
Data for figures 2B, 2C, and 2D in the .py file extension.
Fig_3B_3C_3D_Single-layer SNSPD__ff=05.ipynb
Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication
Jupyter Notebook - 444.0 KB - MD5: 44f0c0b3d1b80e2c5595df171623b440
Data for figures 3B, 3C, and 3D in the .ipynb file extension.
Fig_3B_3C_3D_Single-layer SNSPD__ff=05.py
Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication
Python Source Code - 35.0 KB - MD5: 0a95403dc49e1d743b7eab8c924fc67b
Data for figures 3B, 3C, and 3D in the .py file extension.
Fig_4B_4C_4D_Three-layer SNSPD__ff=05.ipynb
Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication
Jupyter Notebook - 370.8 KB - MD5: b6089bd190ea68abf2f117fb97f8e61f
Data for figures 4B, 4C, and 4D in the .ipynb file extension.
Fig_4B_4C_4D_Three-layer SNSPD__ff=05.py
Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication
Python Source Code - 22.4 KB - MD5: 85fb97e29b3820bdea6bc031fcfbcf4f
Data for figures 4B, 4C, and 4D in the .py file extension.
Fig_5A_Optimal thickness and single SNSPD absorption vs filling factor.ipynb
Jan 13, 2023 - Replication Data for: Photon number resolution without optical mode multiplication
Jupyter Notebook - 119.5 KB - MD5: 33a35d58e6e42ae92917451be544036f
Data for figure 5A in the .ipynb file extension.
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