Artificial Neural Network Modelling of the Mechanical Properties of Nanocomposite Polypropylene-Nanoclay-Reference-Cited by-同舟云学术

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Artificial Neural Network Modelling of the Mechanical Properties of Nanocomposite Polypropylene-Nanoclay

Published:2017-04-01 Issue:4 Volume:12 Page:316-320
ISSN:1555-130X
Container-title:Journal of Nanoelectronics and Optoelectronics
language:en
Short-container-title:Journal of Nanoelectronics and Optoelectronics

Author:

Özcanli Y.,Beken M.,Çavuş F. Kosovali,Hadiyeva A. A.,Sadigova A. R.,Alekperov V. A.

Publisher

American Scientific Publishers

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

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. Processes of mechanical degradation of high-density polyethylene + nanoclay nanocomposites after exposure to an electric field;Ferroelectrics;2023-08-31

2. Influence of electric field on the thermal properties of PP+NC nanocomposites for environmental chemistry application;IOP Conference Series: Earth and Environmental Science;2023-08-01

3. Machine Learning for Property Prediction and Optimization of Polymeric Nanocomposites: A State-of-the-Art;International Journal of Molecular Sciences;2022-09-14

4. Molecular processes occuring in high density polyethylene+nanoclay nanocomposites under the influence of an electric field;Functional Materials;2022-03-30

5. Structural features modeling of substituted hydroxyapatite nanopowders as bone fillers via machine learning;Ceramics International;2021-04

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