School of Physical and Mathematical Sciences (SPMS)

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4,241 to 4,250 of 8,093 Results

Transmission - a = 242.5 um, v = 12, radius = [0, 0.7071] [bearded straight waveguide] [25 rows, 50 cols].txt Sep 15, 2022 - Interfacial topological photonics: broadband silicon waveguides for THz 6G communication and beyond Plain Text - 35.8 KB - MD5: fe57c53ad0482cd14d1cc0ce956a3672 Required data for Figure 6.
Transmission - a = 242.5 um, v = 12, radius = [0, 0.7071] [bearded X waveguide] [25 rows, 41 cols].txt Sep 15, 2022 - Interfacial topological photonics: broadband silicon waveguides for THz 6G communication and beyond Plain Text - 35.9 KB - MD5: 001472e5dc369540d6f7c94963b26dec Required data for Figure 6.
Transmission - a = 242.5 um, v = 12, radius = [0, 0.7071] [bearded Z waveguide] [25 rows, 41 cols].txt Sep 15, 2022 - Interfacial topological photonics: broadband silicon waveguides for THz 6G communication and beyond Plain Text - 35.9 KB - MD5: 77f7edf88722d55f9e28210934e9cb5a Required data for Figure 6.
verticesRadius.m Sep 15, 2022 - Interfacial topological photonics: broadband silicon waveguides for THz 6G communication and beyond Plain Text - 229 B - MD5: 5efd18ada0f8cae4d37f1014e90348ff Required Matlab function for all figures
Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Sep 15, 2022 - TAN Yi Ji Tan, Yi Ji, 2022, "Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications", https://doi.org/10.21979/N9/WPX1SE, DR-NTU (Data), V1, UNF:6:FSzozXS+M4Gpea19nZlmkw== [fileUNF] MATLAB scripts and data for generating published figures.
10 users.mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 440.6 KB - MD5: 236b0dad64b639f889d919b46ed08c3d Required data for Figure 3 and 4.
3 users.mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 263.3 KB - MD5: ddb73236f23c7c71494894454ac574e2 Required data for Figure 2.
5 users.mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 259.0 KB - MD5: fa9e5473da757f79e9fdcff45702d904 Required data for Figure 2.
6 users.mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 452.7 KB - MD5: 256ba6abb9c41d927397b2d045c43408 Required data for Figure 3 and 4.
BeamformingNetwork2D.m Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Source Code - 7.1 KB - MD5: add30fa2f630af764d92abbddee1da86 Matlab script: Neural network training for beamforming

Transmission - a = 242.5 um, v = 12, radius = [0, 0.7071] [bearded straight waveguide] [25 rows, 50 cols].txt

Sep 15, 2022 - Interfacial topological photonics: broadband silicon waveguides for THz 6G communication and beyond

Plain Text - 35.8 KB -

Required data for Figure 6.

Transmission - a = 242.5 um, v = 12, radius = [0, 0.7071] [bearded X waveguide] [25 rows, 41 cols].txt

Sep 15, 2022 - Interfacial topological photonics: broadband silicon waveguides for THz 6G communication and beyond

Plain Text - 35.9 KB -

Required data for Figure 6.

Transmission - a = 242.5 um, v = 12, radius = [0, 0.7071] [bearded Z waveguide] [25 rows, 41 cols].txt

Sep 15, 2022 - Interfacial topological photonics: broadband silicon waveguides for THz 6G communication and beyond

Plain Text - 35.9 KB -

Required data for Figure 6.

verticesRadius.m

Sep 15, 2022 - Interfacial topological photonics: broadband silicon waveguides for THz 6G communication and beyond

Plain Text - 229 B -

Required Matlab function for all figures

Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

Sep 15, 2022 - TAN Yi Ji

Tan, Yi Ji, 2022, "Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications", https://doi.org/10.21979/N9/WPX1SE, DR-NTU (Data), V1, UNF:6:FSzozXS+M4Gpea19nZlmkw== [fileUNF]

MATLAB scripts and data for generating published figures.

10 users.mat

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

MATLAB Data - 440.6 KB -

Required data for Figure 3 and 4.

3 users.mat

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

MATLAB Data - 263.3 KB -

Required data for Figure 2.

5 users.mat

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

MATLAB Data - 259.0 KB -