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71 to 80 of 100 Results
ueq.csv
Comma Separated Values - 2.0 KB - SHA-256: aba3039b25deb6966ab8363cb45d5f2820b439a6c0f2c56bd2b0d97c39ea6fa0
Visualization(Jülich Supercomputing Centre)
Jun 18, 2024
Spectroscopy Data and Model Parameters for: Observation of Josephson Harmonics in Tunnel Junctions
Nov 29, 2023 - Quantum Information Processing
Willsch, Dennis; Rieger, Dennis, 2023, "Spectroscopy Data and Model Parameters for: Observation of Josephson Harmonics in Tunnel Junctions", https://doi.org/10.26165/JUELICH-DATA/LGRHUH, Jülich DATA, V2
This repository contains the spectroscopy data and the model parameters along with a Jupyter notebook that demonstrates how to diagonalize the transmon-resonator Hamiltonians using tensorflow, verify the model parameters, and reproduce some of the figures from the corresponding p...
README.txt
Plain Text - 97 B - SHA-256: 862af1955f50b373cbc7005cc97e6708dd6b575fba57489637be514034f5d4a0
Quantum Information Processing
Aug 14, 2023
Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelism
Apr 21, 2023 - Quantum Materials Matrix Collection
Di Napoli, Edoardo, 2023, "Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelism", https://doi.org/10.26165/JUELICH-DATA/OFQWGZ, Jülich DATA, V1
This dataset includes a set of matrices generated by Condensed Matter simulation software which were used to test the ChASE library in the manuscript bearing the same title as the dataset, and submitted to SC23 conference. Each Hermitian matrix is stored in double precision as a...
Quantum Materials Matrix Collection
Apr 21, 2023
AIRS/Aqua Observations of non-LTE Emissions
Mar 16, 2023 - Earth System Science
Hoffmann, Lars, 2023, "AIRS/Aqua Observations of non-LTE Emissions", https://doi.org/10.26165/JUELICH-DATA/PHL4EE, Jülich DATA, V1
This data repository provides access to observations of carbon dioxide non-LTE emissions provided by the Atmospheric Infrared Sounder (AIRS) aboard NASA's Aqua satellite. Information on carbon dioxide non-LTE emissions is derived by a brightness temperature differencing technique...
2m Temperature Forecast by Deep Learning
Aug 31, 2022 - Earth System Science
Gong, Bing; Langguth, Michael; Ji, Yan; Mozaffari, Amirpasha; Stadtler, Scarlet; Mache, Karim; Schultz, Martin G., 2022, "2m Temperature Forecast by Deep Learning", https://doi.org/10.26165/JUELICH-DATA/X5HPXP, Jülich DATA, V2
This repository provides the preprocessed datasets, which are used in the study Temperature forecasting by deep learning methods by Gong et al. (2022). This allows the user to reproduce the presented results without running the preprocessing chain from the raw ERA5 data. Data des...
md5sum.txt
Plain Text - 471 B - SHA-256: 63f2e461ba77a72bb4c47e4dc600c02015209f175e6849f18b0fad3f7cb6a859
md5 hash values for data stored on datapub
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