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Ferroelastic domain walls in BiFeO3 as memristive networks

B2FIND2026-03-19 收录

忆阻网络研究

铁电畴研究

数据链接：

https://b2find.eudat.eu/dataset/f5ff3539-7661-52fb-80ff-0285cd79f5d8 数据链接链接失效反馈

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资源简介：

With the provided raw data, the figures of the ArXiv preprint and the Advanced Intelligent systems publication can be reproduced. It consists of the following data types:...

应用场景：

铁电畴研究

压电力显微镜

This work addresses the domain evolution processes in polycrystalline barium titanate (BaTiO3, BT)-based ceramics containing various amounts of gold nanoparticles (AuNPs) as an additive by using piezo

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Triangular frustration of ferroelectric domains

铁电畴研究

凝聚态物理材料

The recent discovery of chiral electric dipoles in PbTiO3 thin films, including vortices [1] and skyrmions [2], has attracted tremendous interest from both fundamental and...

B2FIND50

Data_Sheet_1_Non-linear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks.pdf

脉冲神经网络硬件实现

忆阻网络研究

Spiking neural networks (SNNs) are a computational tool in which the information is coded into spikes, as in some parts of the brain, differently from conventional neural networks (NNs) that compute o

NIAID Data Ecosystem40

In materia implementation strategies of physical reservoir computing with memristive nanonetworks - Dataset

忆阻网络研究

物理储层计算

This is the dataset of "In materia implementation strategies of physical reservoir computing with memristive nanonetworks"

NIAID Data Ecosystem60

Organic Ferroelectric Vortex–Antivortex Domain Structure

铁电畴研究

拓扑缺陷物理

Organic ferroelectrics are attracting tremendous interest because of their mechanical flexibility, ease of fabrication, and low acoustical impedance. Although great advances have been made in recent y

NIAID Data Ecosystem40

Ferroelastic domain walls in BiFeO3 as memristive networks

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