Extreme learning machine and swarm-based support vector regression methods for predicting crystal lattice parameters of pseudo-cubic/cubic perovskites
Author:
Affiliation:
1. Physics and Electronics Department, Adekunle Ajasin University, Akungba Akoko 342111, Ondo State, Nigeria
Publisher
AIP Publishing
Subject
General Physics and Astronomy
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0008809
Reference67 articles.
1. The prediction of lattice constants in orthorhombic perovskites
2. Lattice constant prediction of cubic and monoclinic perovskites using neural networks and support vector regression
3. Prediction of lattice constant in perovskites of GdFeO3 structure
4. Lattice-constant prediction and effect of vacancies in aliovalently doped perovskites
5. Predicting lattice constant of cubic perovskites using support vector regression
Cited by 19 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. Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms;Materials Today Communications;2023-12
2. Identification of High-Reliability Regions of Machine Learning Predictions Based on Materials Chemistry;Journal of Chemical Information and Modeling;2023-11-20
3. PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18
4. A new ANN-PSO framework to chalcopyrite’s energy band gaps prediction;Materials Today Communications;2023-03
5. Elemental compositional modeling of magnetic ordering temperature for spinel ferrite magnetocaloric compounds using intelligent algorithms;Cogent Engineering;2023-02-24
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