Published September 15, 2023 | Version v1
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Research data of the manuscript "Stochastic 3D  modeling of nanostructured NVP/C active material particles for sodium-ion batteries"

  • 1. Ulm University
  • 2. Karlsruhe Institute of Technology

Description

Research data that supports the findings presented in the manuscript "Stochastic 3D  modeling of nanostructured NVP/C active material particles for sodium-ion batteries" published in Batteries & Supercaps (https://doi.org/10.1002/batt.202300409). 

This includes

1) Experimental image data obtained by focused ion beam scanning electron microscopy (FIB-SEM), high-resolution SEM (HR-SEM), transmission electron microscopy (TEM), and enery-dispersive X-ray spectoscropy (EDX). Imaging is described in Section 2.3.

2) Segmented image data of FIB-SEM stack and HR-SEM images, which build the basis for calibrating the stochastic model in Section 3.2. The segmentation has been performed as described in Section 2.4.

3) Virtual nanostructures generated by the stochastic model in order to study structure-property relationships in Section 4.2.

Files

ResearchData.zip

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Additional details

Funding

POLiS Cluster of Excellence EXC 2154 – Project number 390874152
Deutsche Forschungsgemeinschaft

Dates

Available
2024-01-23
Publishing after acceptance of the corresponding manuscript