4,281 to 4,290 of 8,093 Results
Sep 15, 2022 -
Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications
Plain Text - 69.1 KB -
MD5: faa231c9fce53e679dfe828df02c76d4
Required data for Figure 8. |
Sep 15, 2022 -
Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications
MATLAB Source Code - 715 B -
MD5: f0482d5c5e70b619d1cc2a6c0fb903c4
Matlab script: User-defined colormap |
Sep 15, 2022 -
Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications
Plain Text - 335 B -
MD5: 1205cd83a47bff913e7a988d0561055a
Required data for Figure 9 and 10. |
Sep 15, 2022 -
Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications
Plain Text - 335 B -
MD5: 1205cd83a47bff913e7a988d0561055a
Required data for Figure 9 and 10. |
Sep 2, 2022 - TONG Ping
Tong, Ping, 2022, "Replication Data for: Complex Patterns of Past and Ongoing Crustal Deformation in Southern California Revealed by Seismic Azimuthal Anisotropy", https://doi.org/10.21979/N9/JQDOAQ, DR-NTU (Data), V2
Azimuthally anisotropic P-wave velocity model of the crustal structure beneath Southern California revealed by Adjoint-state Traveltime Tomography |
Plain Text - 756 B -
MD5: 299a43e3d1dff0a6ff1471dd73bef344
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Fixed Field Text Data - 3.1 GB -
MD5: af3549b77d58fc108fe18506a8cbf4f1
Please refer to Readme |
Fixed Field Text Data - 112.0 MB -
MD5: 256a7de7a9773f1ce2e09163b7b998cc
Please refer to Readme |
Aug 30, 2022 - ZHANG Baile
Zhang, Baile, 2022, "Replication Data for: Chiral plasmons with twisted atomic bilayers", https://doi.org/10.21979/N9/ESXXZS, DR-NTU (Data), V1
Replication Data for: Chiral plasmons with twisted atomic bilayers |
RAR Archive - 4.8 MB -
MD5: c641b83d5c3a5dda94635e76e97eff23
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