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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Reservoir computing using CVD-MoS2 memtransistor python script

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Aug 2025Publisher:Zenodo
Authors: Kurtash, Vladislav;

doi: 10.5281/zenodo.16944485 , 10.5281/zenodo.16944484

Reservoir computing using CVD-MoS2 memtransistor python script

Abstract

This repository provides a Jupyter-ready Python cell to compute reservoir-computing metrics and train a linear readout from memristive time-series data. The UI (ipywidgets) parses TXT/CSV with auto-delimiter detection and supports decimal commas and scientific notation. The tool reports RMSE, NRMSE (range/std), and R², shows training/test overlays and scatter plots, and exports all plotted series plus metrics as Origin-friendly tab-separated TXT. Upload compatibility covers ipywidgets 7/8 (dict/tuple FileUpload.value) and Windows/macOS/Linux (bytes/memoryview). The code targets reproducible analysis of memristor-based RC experiments, including memtransistor datasets with V_{GS} input and I_{DS} output. 

Related Organizations
Keywords

memtransistor, reservoir computing, MoS2, memristor

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average