In situ observation of ferroelectric domain evolution of …
2024年10月15日 · In summary, during the in situ TEM heating experiments spanning temperatures from 20 to 120 °C, the ferroelectric domains of the KNN single crystal exhibit …
Voltage-driven ferroelectric domain dynamics in (K,Na)NbO
2023年5月15日 · In this study, we observed the evolution of the ferroelectric domain structure of K 0.5 Na 0.5 NbO 3 single crystal (KNN sc) in situ using (scanning) transmission electron …
In situ TEM analysis of reversible non-180° domain switching in …
Reversible non-180° domain switching is believed to be able to enhance the electromechanical performances of piezoelectrics. However, the slow improvement of strain performances of …
Domain reorientation and electric-field-induced phase transition …
2023年12月1日 · In addition, the electric-field-induced intermediate phase emerges for KNN-based ceramics with two-phase coexistence by means of in-situ transmission electron …
Significantly enhanced piezoelectric temperature stability of KNN …
2024年6月1日 · KNN-T 1 and KNN-T 2 matrix powders were synthesized using conventional solid state reaction method. High purity K 2 CO 3 (99 %, Alfa Aesar), ... (TEM, FEI Talos F200X, …
Ultrahigh thermal stability and piezoelectricity of lead-free KNN …
2024年10月18日 · c TEM images for the 3T ceramics. ... The KNN-BNZ-xBKH matrix powders pressed into disks of 12-mm diameter and 1-mm thickness under the pressure of 200–300 …
不同取向无铅压电KNN薄膜的晶相和电学性质 ... - X-MOL
2017年4月3日 · 结合xrd-rsm、tem和pfm的分析，我们的样品的结晶相被确定为菱面体，其具有沿[111]方向的自发极化。 ... (knn-bz-bnt) 薄膜生长在不同取向的 nb 掺杂的 srtio3 衬底上。根据 …
A common domain structure of the KNN sc, investigated by TEM in [100] pc,isshowninFig. 1. Generally, three characteristic features canbe seenina [100] pc …
同济大学Adv. Mater. : 高压电性能无铅KNN基织构陶瓷 – 材料牛
2018年1月16日 · (c) knn-0t和knn-3t样品的(001)晶面间距及晶格畸变度随极化电场强度的变化； (d) 外电场作用下从菱方相的[111]自发极化矢量到正交相的[101]自发极化矢量的可能的极化翻 …
Here, we synthesized Li-doped KNN ceramics. The morphologies and crystallographic parameters of the domain structures were characterized. Two ferroelectric domains, the 60 …
(a,b) TEM micrographs of aligned KNN nanofibers annealed
Download scientific diagram | (a,b) TEM micrographs of aligned KNN nanofibers annealed at 600 °C, (c) SAED pattern acquired from the marked area in panel (b) along the <111> zone axis. …
Ferroelectric Domain Structure and Local Piezoelectric ... - MDPI
TEM can be used for the imaging of domains, domain walls, and local phase distribution in different piezoelectric ceramics, including BFO and KNN [69,70]. Contrast in this method is …
Ferroelectric domain structures and temperature-misfit strain …
2019年8月26日 · Potassium-sodium niobate K 1-x Na x NbO 3 (KNN) is one of the most promising lead-free piezoelectric materials. While there have been many studies on the …
K-近邻算法： k-nearest neighbor classification (kNN) 详细介绍
2024年6月22日 · k近邻算法，k Nearest Neighbor(KNN)，它的工作原理如下： 存在一个样本数据集合，也称作训练样本集，并且样本集中每个数据都存在标签，即我们知道样本集中每一数据 …
Novel lead-free KNN-based ceramic with giant energy storage …
2024年3月5日 · KNN-based ceramics with high dielectric relaxation, good energy storage density and excellent temperature stability were obtained. Ba and Bi elements are conducive to the …
推荐系统从零单排系列(二)--Item-Based协同过滤算法 - 知乎
为用户产生推荐时，从用户节点出发在图上遍历，综合其他用户的喜好为该用户推荐商品。相比于接下来要提到的KNN邻居算法，该方法利用了其他用户的信息，即使是那些没有给Item打分的 …
Algoritmos de Machine Learning – K-Nearest Neighbors (KNN)
2024年12月16日 · O KNN tem muitas aplicações práticas, especialmente em situações que envolvem proximidade ou similaridade entre dados. Aqui estão exemplos distintos e …
【机器学习系列】使用KNN模型进行数据分析和预测的完整流程_knn …
2024年6月5日 · 文章浏览阅读3k次，点赞12次，收藏28次。在这篇博客中，我们将详细介绍如何使用knn（k最近邻）模型进行数据分析和预测。我们将从导入数据开始，然后选择特征变量， …
Como funciona o KNN (K-nearest neighbors) - didatica.tech
O KNN (K-nearest neighbors, ou "K-vizinhos mais próximos") costuma ser um dos primeiros algoritmos aprendidos por iniciantes no mundo do aprendizado de máquina. O KNN é muito …
O que é o algoritmo dos k vizinhos mais próximos? | IBM
Para fazer isso, o KNN tem alguns requisitos: Determine suas métricas de distância. Para determinar quais pontos de dados estão mais próximos de um ponto de consulta específico, é …