6,051 to 6,060 of 7,998 Results
Jun 22, 2021 -
Replication Data for: Electrically and Thermally Tunable Smooth Silicon Metasurfaces for Broadband Terahertz Antireflection
Plain Text - 62.9 KB -
MD5: 4abdb1caf7425c540104881e7c4f85dc
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Jun 22, 2021 -
Replication Data for: Electrically and Thermally Tunable Smooth Silicon Metasurfaces for Broadband Terahertz Antireflection
Plain Text - 63.2 KB -
MD5: 3439774e241192f5ecc417cfc29a6ca5
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Jun 22, 2021 -
Replication Data for: Electrically and Thermally Tunable Smooth Silicon Metasurfaces for Broadband Terahertz Antireflection
Plain Text - 63.3 KB -
MD5: d17df9e28822d298d341420501cdefdc
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Jun 22, 2021 -
Replication Data for: Electrically and Thermally Tunable Smooth Silicon Metasurfaces for Broadband Terahertz Antireflection
Plain Text - 63.0 KB -
MD5: 2580f17b821c7d0adf71e05dc560068d
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Jun 22, 2021 -
Replication Data for: Electrically and Thermally Tunable Smooth Silicon Metasurfaces for Broadband Terahertz Antireflection
Plain Text - 63.1 KB -
MD5: 3e73f99d8a928dae7564e470ca157eb4
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Jun 22, 2021 -
Replication Data for: Electrically and Thermally Tunable Smooth Silicon Metasurfaces for Broadband Terahertz Antireflection
Plain Text - 62.9 KB -
MD5: cb165687acbabdb364a55d972a30b555
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Jun 22, 2021 -
Replication Data for: Electrically and Thermally Tunable Smooth Silicon Metasurfaces for Broadband Terahertz Antireflection
TIFF Image - 180.1 KB -
MD5: 06479fe3f5996b01e400a30072fa075b
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Jun 22, 2021 -
Replication Data for: Electrically and Thermally Tunable Smooth Silicon Metasurfaces for Broadband Terahertz Antireflection
Plain Text - 22.5 KB -
MD5: 5f7289414cfc1c138478d47b22e4cc0f
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Jun 17, 2021 - Chong Yi Dong
Chattopadhyay, Udvas; Mittal, Sunil; Hafezi, Mohammad; Chong, Yidong, 2021, "Replication Data for: Mode delocalization in disordered photonic Chern insulator", https://doi.org/10.21979/N9/6IQJ2C, DR-NTU (Data), V1
Code for reproducing the numerical results presented in the paper, including the projected band structures, Chern number calculations, and localization length calculations. All figures are generated sequentially by running the Python file. |
Python Source Code - 23.0 KB -
MD5: 9d1d447436d152317de7d59a8d17e1bb
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