Modeling of the Electrical Percolation of Mixed Carbon Fillers in Polymer-Based Composites

By Yao Sun, Ha-Da Bao, Zhao‐Xia Guo, Jian Yu. 2009

191 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Materials Chemistry, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/2a11fe0b5bddaf2ec236507f5fdfdfc6d707cb86

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. E. Bilotti
2. B. Krause
3. Robert Socher
4. P. Pötschke
5. T. Peijs
6. Sylvia Anita Hermasch
7. R. Wursche
8. H. Deng

In Materials Chemistry

1. E. Bilotti
2. T. Peijs
3. Han Zhang
4. H. Deng
5. B. Krause
6. Q. Fu
7. Robert Socher
8. P. Pötschke

In Polymers and Plastics

1. T. Peijs
2. B. Krause
3. E. Bilotti
4. Robert Socher
5. H. Deng
6. P. Pötschke
7. Han Zhang
8. Q. Fu

Citations in the corpus

• Controlling the dynamic percolation of carbon nanotube based conductive polymer composites by addition of secondary nanofillers: The effect on electrical conductivity and tuneable sensing behaviour (2013, background): “The main explanations given in literature can be summarised as: i) Excluded volume/confinement effect [40, 41], ii) Improved dispersion [42, 43] and iii) Improved network connectivity [44, 45].”
• Electrical and thermal properties of polyamide 12 composites with hybrid fillers systems of multiwalled carbon nanotubes and carbon black (2011, background): “[18] developed an equation based on the percolation of the single fillers by adapting an excluded volume approach (see 3.”