C3 Project

Project Title: Dynamic memristive networks based on near-field optics and plasmonic nanostructures

PI’s: Prof. Dr. Martina Gerken, Dr. Alexander Vahl

Researcher(s): Blessing Adejube, Fatemeh Abschari

Dataset Name: Time-series data for Ag-based nanoparticle networks

Dataset Descriptions: The dataset included the raw timeseries data 1 for:

Dataset A: The temporal development of percolation during deposition of Ag nanoparticles via nanoparticle beam deposition.
Dataset B: Consecutive time series measurements for determination of collective switching activity and avalanche dynamics.
Dataset C: Threshold behaviour of the onset of resistive switching at a given voltage threshold.

Methodology: Fabrication of Ag-based nanoparticle network sample on planar Si/SiO2 wafer surface with Ag/SiOx core shell nanoparticle coverage as base layer, poised at the threshold of electrical percolation. The general fabrication routine and approach towards percolation follows the process path as below

Click here to download the dataset.

References:

1: Gronenberg, Ole, Blessing Adejube, Torben Hemke, Jonas Drewes, Oguz Han Asnaz, Florian Ziegler, Niko Carstens (2024). In Situ Imaging of Dynamic Current Paths in a Neuromorphic Nanoparticle Network with Critical Spiking Behavior. Advanced Functional Materials, 2312989. doi:10.1002/adfm.202312989