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1 to 10 of 276 Results

SimCATS_GaAs_v1_random_variations_v2 Oct 9, 2024 Hader, Fabian; Fuchs, Fabian; Fleitmann, Sarah, 2024, "SimCATS_GaAs_v1_random_variations_v2", https://doi.org/10.26165/JUELICH-DATA/5PB3GT, Jülich DATA, V1 Dataset: SimCATS_GaAs_v1_random_variations_v2 Simulated data from the geometric SimCATS model (GitHub Repository, Paper) for benchmarking of semiconductor quantum dot tuning algorithms. Generated using this Jupyter Notebook and used for the final evaluation in Automated Charge Tr...
Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch" Oct 2, 2024 Robens, Markus, 2024, "Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"", https://doi.org/10.26165/JUELICH-DATA/JJ31IX, Jülich DATA, V1 This is a wrapper for »Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"« submitted to Zenodo (Robens, 2024) due to its file size. This dataset contains data underlying the results presented in the article Robens M, Kleijnen R, Schiek M, and...
SimCATS-Datasets Oct 2, 2024 Hader, Fabian; Fuchs, Fabian; Havemann, Karin; Fleitmann, Sarah; Vogelbruch, Jan, 2024, "SimCATS-Datasets", https://doi.org/10.26165/JUELICH-DATA/SB7L3L, Jülich DATA, V1 SimCATS-Datasets is a Python package that simplifies the creation and loading of SimCATS datasets. For License, CLA, and Copyright have a look at GitHub. GitHub (source code): https://github.com/f-hader/SimCATS-Datasets PyPi (package): https://pypi.org/project/simcats-datasets Re...
Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots Feb 23, 2023 - Campus Collection Hader, Fabian; Vogelbruch, Jan; Humpohl, Simon; Hangleiter, Tobias; Eguzo, Chimezie; Heinen, Stefan; Meyer, Stefanie; van Waasen, Stefan, 2023, "Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots", https://doi.org/10.26165/JUELICH-DATA/QIIBZV, Jülich DATA, V1 Sensor dot measurement data (Matlab format) and format description used in the evaluation of IEEE TQE paper: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots, 2023
loadScanMat.m Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots Plain Text - 2.5 KB - SHA-256: 718d06bf5a4fc9829c8201ce771e83e68d509ede66d9ef3b432102e2d1cd6937
Scans_new.md Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots Markdown Text - 10.3 KB - SHA-256: 97a19bf811dca5225496bb6fabb7e839329bf71ab54ac38017f5ec1705a37517
smdata_new.md Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots Markdown Text - 4.3 KB - SHA-256: 64d905a97d94ef39ee7da46212793b86271b0727f910fbfaecaa95499f9f008a
sm_sensor_2d_1_SL1_SR1_2021_03_26_19_12_17_1_1.mat Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots MATLAB Data - 161.7 KB - SHA-256: 321a0eb7fbfbaf69e64f6f26a0e001dc18a1d2da8376dc4b66b5e18cca2e5216
sm_sensor_2d_1_SL1_SR1_2021_03_29_12_33_17_1_1.mat Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots MATLAB Data - 82.1 KB - SHA-256: 4c638e47638c673f6a2a1ba5a8c2f1e880e532fc63d6ef66c9ae421bd90869ba
sm_sensor_2d_1_SL1_SR1_2021_03_29_14_49_22_1_1.mat Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots MATLAB Data - 162.3 KB - SHA-256: 54a2638e1cdb14c639394c8b74ba16169aeb3310bebb793fdfde798aa089adec

SimCATS_GaAs_v1_random_variations_v2

Oct 9, 2024

Hader, Fabian; Fuchs, Fabian; Fleitmann, Sarah, 2024, "SimCATS_GaAs_v1_random_variations_v2", https://doi.org/10.26165/JUELICH-DATA/5PB3GT, Jülich DATA, V1

Dataset: SimCATS_GaAs_v1_random_variations_v2 Simulated data from the geometric SimCATS model (GitHub Repository, Paper) for benchmarking of semiconductor quantum dot tuning algorithms. Generated using this Jupyter Notebook and used for the final evaluation in Automated Charge Tr...

Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"

Oct 2, 2024

Robens, Markus, 2024, "Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"", https://doi.org/10.26165/JUELICH-DATA/JJ31IX, Jülich DATA, V1

This is a wrapper for »Data supporting manuscript "NoC Simulation steered by NEST: McAERsim and a Noxim Patch"« submitted to Zenodo (Robens, 2024) due to its file size. This dataset contains data underlying the results presented in the article Robens M, Kleijnen R, Schiek M, and...

SimCATS-Datasets

Oct 2, 2024

Hader, Fabian; Fuchs, Fabian; Havemann, Karin; Fleitmann, Sarah; Vogelbruch, Jan, 2024, "SimCATS-Datasets", https://doi.org/10.26165/JUELICH-DATA/SB7L3L, Jülich DATA, V1

SimCATS-Datasets is a Python package that simplifies the creation and loading of SimCATS datasets. For License, CLA, and Copyright have a look at GitHub. GitHub (source code): https://github.com/f-hader/SimCATS-Datasets PyPi (package): https://pypi.org/project/simcats-datasets Re...

Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

Feb 23, 2023 - Campus Collection

Hader, Fabian; Vogelbruch, Jan; Humpohl, Simon; Hangleiter, Tobias; Eguzo, Chimezie; Heinen, Stefan; Meyer, Stefanie; van Waasen, Stefan, 2023, "Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots", https://doi.org/10.26165/JUELICH-DATA/QIIBZV, Jülich DATA, V1

Sensor dot measurement data (Matlab format) and format description used in the evaluation of IEEE TQE paper: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots, 2023

loadScanMat.m

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

Plain Text - 2.5 KB - SHA-256: 718d06bf5a4fc9829c8201ce771e83e68d509ede66d9ef3b432102e2d1cd6937

Scans_new.md

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

Markdown Text - 10.3 KB - SHA-256: 97a19bf811dca5225496bb6fabb7e839329bf71ab54ac38017f5ec1705a37517

smdata_new.md

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

Markdown Text - 4.3 KB - SHA-256: 64d905a97d94ef39ee7da46212793b86271b0727f910fbfaecaa95499f9f008a

sm_sensor_2d_1_SL1_SR1_2021_03_26_19_12_17_1_1.mat

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

MATLAB Data - 161.7 KB - SHA-256: 321a0eb7fbfbaf69e64f6f26a0e001dc18a1d2da8376dc4b66b5e18cca2e5216

sm_sensor_2d_1_SL1_SR1_2021_03_29_12_33_17_1_1.mat

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

MATLAB Data - 82.1 KB - SHA-256: 4c638e47638c673f6a2a1ba5a8c2f1e880e532fc63d6ef66c9ae421bd90869ba

sm_sensor_2d_1_SL1_SR1_2021_03_29_14_49_22_1_1.mat

Feb 23, 2023 - Replication Data for: On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots

MATLAB Data - 162.3 KB - SHA-256: 54a2638e1cdb14c639394c8b74ba16169aeb3310bebb793fdfde798aa089adec

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