Work

Developing a high-efficiency predictive model for self-temperature-compensated piezoresistive properties of carbon nanotube/graphene nanoplatelet polymer-based nanocomposites

Year: 2022

Type: article

Source: Composites Part A Applied Science and Manufacturing

DOI: 10.1016/j.compositesa.2022.107380

Authors: Mojtaba Haghgoo, Reza Ansari, Sung-Hwan Jang, Mohammad Kazem Hassanzadeh-Aghdam, Mohammad Nankali

Institutions: University of Guilan, Hanyang University, Iran University of Science and Technology

Language: English

Topic: Carbon Nanotubes in Composites

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: Hanyang University, Ministry of Science, ICT and Future Planning, National Research Foundation of Korea

Awards: G3366745089, G6925985741

OpenAlex ID: W4312084635

FWCI: 1.316

Cites: 66

Cited by: 22

Related to: 10