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Unknown - 3.1 MB - MD5: 2868009b9cf055147cc8f5c759ca9423
Data for Figure 4. Please rename it to "N = 6, a = 242.5 um, eps1 = 1, eps2 = 9, nx = 128, nk = 32, m = 12, v = 9, radius = [0, 0.6984], theta = [0, 180] [bearded].mat".
Unknown - 180.4 KB - MD5: f479dcb41800094eecf7b575e1186777
Data for Figure 3 and 4. Please rename it to "par_vpcwg (a = 242.5 um, eps1 = 1, eps2 = 9, nx = 128, nk = 16, m = 12) [v = 3, l = 0 to 1, n1 = 64, n2 = 64] [bearded] [radius].mat".
Unknown - 168.6 KB - MD5: 03bd5e8a192c87fa21d5f57136c5cd8c
Data for Figure 3 and 4. Please rename it to "par_vpcwg (a = 242.5 um, eps1 = 1, eps2 = 9, nx = 128, nk = 16, m = 12) [v = 6, l = 0 to 1, n1 = 64, n2 = 64] [bearded] [radius].mat".
Unknown - 161.7 KB - MD5: 6c748ecb43f47b4de184c4e56cd17a9f
Data for Figure 3 and 4. Please rename it to "par_vpcwg (a = 242.5 um, eps1 = 1, eps2 = 9, nx = 128, nk = 16, m = 12) [v = 9, l = 0 to 1, n1 = 64, n2 = 64] [bearded] [radius].mat".
Plain Text - 229 B - MD5: 5efd18ada0f8cae4d37f1014e90348ff
Required Matlab function for all figures
Sep 15, 2022
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.
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