7,831 to 7,840 of 7,931 Results
Dec 20, 2018 -
Replication Data for: Topologically Enhanced Harmonic Generation in a Nonlinear Transmission Line Metamaterial
Python Source Code - 1.0 KB -
MD5: 04ef33d7149166292e7c52515c3ba317
Plot the dispersion relation of the bulk SSH circuit [Fig. S1b] |
Dec 20, 2018 -
Replication Data for: Topologically Enhanced Harmonic Generation in a Nonlinear Transmission Line Metamaterial
Gzip Archive - 3.2 MB -
MD5: 52bc751760ec816b55309862f2492f2e
Raw experimental data, and the Python code used to generate it (via PyVISA) and process it. |
Dec 20, 2018 -
Replication Data for: Topologically Enhanced Harmonic Generation in a Nonlinear Transmission Line Metamaterial
Python Source Code - 676 B -
MD5: 8552db97a00d8e7b3ee16e4c8338a646
Plot the voltage and charge response of a linear SSH circuit |
Dec 20, 2018 -
Replication Data for: Topologically Enhanced Harmonic Generation in a Nonlinear Transmission Line Metamaterial
Python Source Code - 1.4 KB -
MD5: a78ab62af35e2d2d9eec12f9421a5656
Plot the band diagram of a linear SSH circuit [Fig. 1] |
Dec 20, 2018 -
Replication Data for: Topologically Enhanced Harmonic Generation in a Nonlinear Transmission Line Metamaterial
Gzip Archive - 3.1 MB -
MD5: f932e33909fdf213656ab4c277614069
SPICE simulation code and intermediate data from SPICE runs. |
Dec 14, 2018 - Xu Kun
Xu, Kun, 2018, "Data for:Strong Electronic Interaction in Dual‐Cation‐Incorporated NiSe2 Nanosheets with Lattice Distortion for Highly Efficient Overall Water Splitting", https://doi.org/10.21979/N9/MIFF5S, DR-NTU (Data), V1
Exploring highly efficient and low‐cost electrocatalysts for electrochemical water splitting is of importance for the conversion of intermediate energy. Herein, the synthesis of dual‐cation (Fe, Co)‐incorporated NiSe2 nanosheets (Fe, Co‐NiSe2) and systematical investigation of th... |
MS Powerpoint - 2.5 MB -
MD5: 3e0dbac62f8356772670632852370afe
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JPEG Image - 395.7 KB -
MD5: b92073271a4ff15c8d36a5962602aaf9
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TIFF Image - 16.5 MB -
MD5: 3d180261656c4ff3e34dee719b59ddb9
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Unknown - 474.8 KB -
MD5: e54d66d3cd221e623e3def9f7d1a14a5
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