Reduced-order model for multiphysics simulations of CNT/Polymer Composites via principal component regression and artificial neural networks-Reference-Cited by-同舟云学术

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Reduced-order model for multiphysics simulations of CNT/Polymer Composites via principal component regression and artificial neural networks

Published:2024-09 Issue: Volume:244 Page:113200
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Shah Kavan^ORCID,Talamadupula Krishna Kiran^ORCID,Acar Pinar^ORCID,Seidel Gary D.^ORCID

Publisher

Elsevier BV

Reference101 articles.

1. Load transfer and deformation mechanismsin carbon nanotube-polystyrene composites;Qian;Appl. Phys. Lett.,2000

2. Homogeneous carbon nanotube/polymer composites for electrical applications;Ramasubramaniam;Appl. Phys. Lett.,2003

3. Small but strong: A review of the mechanical properties of carbon nanotube–polymer composites;Coleman;Carbon,2006

4. A review and analysis of electrical percolation in carbon nanotube polymer composites;Bauhofer;Compos. Sci. Technol.,2009

5. Carbon nanotube/polycarbonate composites as multifunctional strain sensors;Zhang;J. Nanosci. Nanotechnol.,2006

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