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Peter Grünberg Institute (PGI) – Electronic Materials (PGI-7) (Forschungszentrum Jülich)
The dataverse of the Peter Grünberg Institute (PGI) – Electronic Materials (PGI-7)
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Replication Data for: NPJ Unconventional Computing Submission "Reliability challenges for resistive random-access memory-based parallel logic computing"
Dec 16, 2025 - Jülich Aachen ReRAM Tools (JART)
Brackmann, Leon, 2025, "Replication Data for: NPJ Unconventional Computing Submission "Reliability challenges for resistive random-access memory-based parallel logic computing"", https://doi.org/10.26165/JUELICH-DATA/XKYQVK, Jülich DATA, V1
The dataset contains all raw data and python scripts (.py) for creating the figures Fig. 3 - Fig. 6 in the main manuscript "Reliability challenges for resistive random-access memory-based parallel logic computing" and the Fig. S3 in the corresponding supplementary information. Th...
NPJ.zip
ZIP Archive - 33.7 MB - SHA-256: de84c855351eb993e55594de9116046859ef556f337176f2746031408f5025d9
Data includes Fig. 3 - Fig. 6 of main manuscript and Fig. 3 of supplementary
Read noise variability in thermally oxidized Tantalum oxide-based ReRAM devices
Oct 30, 2025
Schnieders, Kristoffer; Stasner, Pascal; Bai, Peixuan; Wouters, Dirk; Wiefels, Stefan, 2025, "Read noise variability in thermally oxidized Tantalum oxide-based ReRAM devices", https://doi.org/10.26165/JUELICH-DATA/BO2NPG, Jülich DATA, V2
This dataset contains raw and processed read noise measurements from thermally oxidized TaOx-based VCM devices, supporting the analysis presented in the associated APL publication. The raw data includes 1 s current readout traces recorded after resistive switching. The evaluation...
EG_TO_16.zip
ZIP Archive - 6.1 GB - MD5: 7009adc65b81a0a0f3157d8cd9d46434
EG_TO_23.zip
ZIP Archive - 14.6 GB - MD5: 28fe8f564c947b0c590e0744f0f0ce3b
EG_TO_25.zip
ZIP Archive - 13.3 GB - MD5: fa7f9b4a9b41b51a26b984f250392163
data_readnoise_sample_A_and_B.pkl
Unknown - 254.9 MB - SHA-256: 3a5dd916d8c9bb1f1d26cc6f3b311f77d952ddaa78918a7c7e85718058893cd4
data_readnoise_sample_C.pkl
Unknown - 148.0 MB - SHA-256: 65b38a04f71cb4ec9bbd27987be7943234a24529f7df229b99dee676f24f4b6b
Functions_datahandle.py
Python Source Code - 29.3 KB - SHA-256: 6f2c31315617763d3e3b03d6571619edc2567c13c3535217364fa88ec7f37e40
ReadMe.txt
Plain Text - 2.1 KB - SHA-256: ee0d72deb8d8f29192558bb509bf664bdf4b92f5d69c87647d08d68e59bd184b
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