Data · dataset · 2025
JART ECM v1 var
Listed in Jülich DATA
A purely physics-based variability-aware compact model of electrochemical metallization memory (ECM) cells is presented.
Description
Since this extension consists of several different features allowing for a realistic variability-aware fit, it depicts a unique model comprising physics-based, stochastically and experimentally originating variabilities and reproduces them well. It is based on the deterministic ECM model JART ECM v1.
The variability-aware model introduces device-to-device variability by choosing the model parameters from a physically reasonable value range. The cycle-to-cycle variability can be introduced by updating these parameters according to a random walk algorithm after a certain time step. Moreover, a stochastic feature is added to the gap evolution within the model’s main dynamics-determining differential equation.
Read the rest (2 more)
The model is validated by experimental data of Cu/SiO2/W ECM cells. This model can be used in higher-level circuit simulators like Spectre to design variability-aware application circuits. [1] shows (a) experimentally measured and (b) simulatively verified device-to-device variability for SET kinetics analysis.
[2] shows experimentally measured I–V sweeps in red, simulated I–V sweeps in blue: (a) experimentally recorded I–V sweep, (b) simulated I-V sweep characteristics with all simulation modifications, (c) - (f) simulated I–V sweep characteristics showing individual types of simulation modifications.
Links
Where it is published
- Dataverse dataset page data.fz-juelich.de/dataset.xhtml?persistentId=doi%3A10.26165%2FJUELICH-DATA%2FWHS… ↗
landing page · from data fz juelich de
- DOI doi.org/10.26165/juelich-data/whssza ↗
DOI / persistent id · from data fz juelich de
Catalogue records · 1
- Dataverse API data.fz-juelich.de/api/datasets/:persistentId/?persistentId=doi%3A10.26165%2FJUEL… ↗
metadata API · from data fz juelich de
Topics
- Stated by source
- Computer and Information Science · Engineering · Other · Physics
- From keywords
- Engineering · Life Sciences · Physics
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Jülich DATA | doi:10.26165/JUELICH-DATA/WHSSZA | 14 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:computer-and-information-science | source · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:engineering | source · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:other | source · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:physics | source · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | /subjects |
| concepts[field].local:field:physics | mapping · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | /subjects |
| concepts[method].local:method:simulation | enrichment · data fz juelich de | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | |
| description | source · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | /description |
| publication_date | source · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | |
| title | source · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | /name |
| updated_date | source · data fz juelich de | connector:data_fz_juelich_de@1.0.0 | |
| version_label | source · data fz juelich de | connector:data_fz_juelich_de@1.0.0 |