Machine-learning-assisted discovery of perovskite materials with high dielectric breakdown strength-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine-learning-assisted discovery of perovskite materials with high dielectric breakdown strength

Published:2022 Issue:23 Volume:3 Page:8639-8646
ISSN:2633-5409
Container-title:Materials Advances
language:en
Short-container-title:Mater. Adv.

Author:

Li Jianbo¹,Peng Yuzhong²,Zhao Lupeng¹,Chen Guodong¹,Zeng Li¹,Wei Guoqiang¹,Xu Yanhua¹^ORCID

Affiliation:

1. Key Laboratory of New Electric Functional Materials of Guangxi Colleges and Universities, Nanning Normal University, Nanning 530299, China

2. Guangxi Key Lab of Human machine Interaction and Intelligent Decision, Nanning Normal University, Nanning, 530001, China

Abstract

A machine learning model to predict the phonon cutoff frequency (ω) and dielectric breakdown strength (Fb) of perovskites.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Chemistry (miscellaneous)

Link

http://pubs.rsc.org/en/content/articlepdf/2022/MA/D2MA00839D

Reference48 articles.

1. Machine learning in energy storage materials

2. Perovskite lead-free dielectrics for energy storage applications

3. High-k dielectrics for future generation memory devices (Invited Paper)

4. Rational design of all organic polymer dielectrics

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dielectric breakdown of oxide films in electronic devices;Nature Reviews Materials;2024-08-07

2. Predicting photovoltaic parameters of perovskite solar cells using machine learning;Journal of Physics: Condensed Matter;2024-06-07

3. A Machine Learning Aided Yield Prediction Model for the Preparation of Cellulose Nanocrystals;ACS Applied Engineering Materials;2024-06-06

4. Machine learning assisted prediction of the phonon cutoff frequency of ABO3 perovskite materials;Computational Materials Science;2024-04

5. Integrative approach of machine learning and symbolic regression for stability prediction of multicomponent perovskite oxides and high-throughput screening;Computational Materials Science;2024-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3