Empirical method for modeling crystal lattice parameters of A2XY6 cubic crystals using grid search-based extreme learning machine-Reference-Cited by-同舟云学术

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Empirical method for modeling crystal lattice parameters of A2XY6 cubic crystals using grid search-based extreme learning machine

Published:2020-11-14 Issue:18 Volume:128 Page:185106
ISSN:0021-8979
Container-title:Journal of Applied Physics
language:en
Short-container-title:Journal of Applied Physics

Author:

Ibn Shamsah Sami M.¹^ORCID,Owolabi Taoreed O.²^ORCID

Affiliation:

1. Department of Mechanical Engineering, College of Engineering, University of Hafr Al Batin, P.O. Box 1803, Hafr Al Batin 31991, Saudi Arabia

2. 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/10.1063/5.0024595

Reference40 articles.

1. A simplified empirical model for predicting the lattice parameters of the cubic/pseudocubic perovskites

2. Lattice constant prediction of cubic and monoclinic perovskites using neural networks and support vector regression

3. Prediction of lattice constant in cubic perovskites

4. Extreme learning machine and swarm-based support vector regression methods for predicting crystal lattice parameters of pseudo-cubic/cubic perovskites

5. A miniaturized selective laser melting device for operando X-ray diffraction studies

Cited by 2 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. Lattice Constant Prediction of Complex Cubic Peroveskite A₂BCO₆ using Extreme Learning Machine;2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE);2022-11-26

2. Prediction Model of Magnetorheological (MR) Fluid Damper Hysteresis Loop using Extreme Learning Machine Algorithm;Open Engineering;2021-01-01

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