TAN Yi Ji

Appointment: Research Fellow

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

431 to 440 of 477 Results

modelGradients.m Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Source Code - 879 B - MD5: 5d57f3fd09195e3776794b34d02a203b Matlab script: Objective function for training neural network
Output Intensity (maximum).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 149.3 KB - MD5: 43150630eeb1bd55ae6896ef57121f11 Required data for Figure 5 to 7.
Output Intensity (random).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 149.5 KB - MD5: d9af090601706a68b92990d310aab1bb Required data for Figure 5 to 7.
Output Phase (maximum).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 8.5 KB - MD5: f40246ebe2001bb4703751cd86972d40 Required data for Figure 5 to 7.
Output Phase (random).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 8.5 KB - MD5: 6637e750543cdd8db5cc3e2bce2f31f0 Required data for Figure 5 to 7.
phase [f = 1 THz, p = 75 um, lz = 200 um].txt Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 71.7 KB - MD5: 2d3b3db4d545915dd2c2a75cbf1a87f0 Required data for Figure 8.
phaseMN.txt Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 9.8 KB - MD5: da6964b94fd024dd97002166b2d1aabd Required data for Figure 9 and 10.
Power Spectrum.txt Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 26.8 KB - MD5: 33a7a349124a83922ecbfb353d3c7b20 Required data for Figure 9.
Si [dir = +1, f = 1 THz, p = 75 um, lz = 200 um].mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 321.9 KB - MD5: 65f897d8e37babc2f03e30047887ed8a Required data for Figure 8.
Si - phase [dir = +1, f = 1 THz, p = 75 um, lz = 200 um].txt Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 64.1 KB - MD5: 3c6169c85e79f4019eb4940f04738588 Required data for Figure 8.

modelGradients.m

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

MATLAB Source Code - 879 B -

Matlab script: Objective function for training neural network

Output Intensity (maximum).mat

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

MATLAB Data - 149.3 KB -

Required data for Figure 5 to 7.

Output Intensity (random).mat

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

MATLAB Data - 149.5 KB -

Required data for Figure 5 to 7.