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Predictive modeling of conductivity for carbon black nanocomposites: influence of filler features, interfacial effects and network portion | Synapse
March 3, 2026
Open Access
Predictive modeling of conductivity for carbon black nanocomposites: influence of filler features, interfacial effects and network portion
MB
Mohammad Boomhendi
MV
Mostafa Vatani
YZ
Yasser Zare
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Key Points
Conductivity is significantly influenced by the filler features and interfacial effects in carbon black nanocomposites.
Key findings reveal that specific filler configurations can greatly enhance conductivity levels in the material.
Observational analysis of carbon black nanocomposites identified how network structure fosters conductivity through interfacial effects.
Understanding these relationships may enable improved design and application of carbon black nanocomposites in various industries.
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Boomhendi et al. (Mon,) studied this question.
synapsesocial.com/papers/69a76606badf0bb9e87db545
https://doi.org/https://doi.org/10.1038/s41598-026-38296-y
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