Manually annotated dataset and synthetic data for "Modeling a domain wall network in BiFeO3 with stochastic geometry and entropy-based similarity measure"
Creators
- 1. Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Nijenborgh 9, 9747 AG Groningen, The Netherlands
- 2. Cognigron - Groningen Cognitive Systems and Materials Center, Nijenborgh 9, 9747 AG Groningen, The Netherlands
Description
This repository contains all data necessary to reproduce results in the article Modeling a domain wall network in BiFeO3 with stochastic geometry and entropy-based similarity measure Cipollini, Swierstra and Schomaker, Front. Mater., 23 January 2024 Sec. Semiconducting Materials and Devices Volume 11 - 2024 | https://doi.org/10.3389/fmats.2024.1323153.
See the code at https://github.com/CipolliniDavide/Modeling_domain_wall_network.git. A copy of this data is also included in the GitHub repository.
Raw data JR38_CoCr_6_70000.ibw included in this repository are the product of the experimental work of Jan Rieck and Prof. Dr Beatriz Noheda already published in Rieck et al. (2022). Ferroelastic Domain Walls in BiFeO3 as Memristive Networks. In Advanced Intelligent Systems. Wiley | https://doi.org/10.1002/aisy.202200292.
Extended data used for the chapter 4 of D.Cipollini thesis include:
The Dataset GroundTruth3 contains the Grid dataset GroundTruth3, the Rand dataset that includes random crops, and the mixed dataset of 40 samples containing both grid and random crops.
The synthetic dataset Voronoi128_d0.34_p0.16_beta2.94, the data produced during the genetic optimization GroundTruth3_Grid_Rand, and the figures obtained from the analysis of results Results_GroundTruth3_GridRand.
This work was funded by EUs Horizon 2020, from the MSCA-ITN-2019 Innovative Training Networks program ”Materials for Neuromorphic Circuits” (MANIC) under the grant agreement No. 861153, as well as by the financial support of the CogniGron research center and the Ubbo Emmius Funds (Univ. of Groningen).
Files
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