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Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
Published on: July 5, 2016
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Three-dimensional Electrical Property Mapping with Nanometer Resolution
Alexander Alekseev1,2,3, Anton Efimov4, Kangbo Lu1,2,5
1Dutch Polymer Institute Eindhoven University of Technology 5600 AX Eindhoven (The Netherlands).
Advanced Materials (Deerfield Beach, Fla.)
|November 8, 2014
Summary
Most multi-walled carbon nanotubes (MWCNTs) in polymer nanocomposites do not form conductive networks, even above the electrical percolation threshold. This finding impacts the design of conductive materials.
Area of Science:
- Materials Science
- Nanotechnology
- Polymer Science
Background:
- Polymer nanocomposites are engineered materials with enhanced properties.
- Electrical conductivity in nanocomposites is often achieved through conductive fillers like carbon nanotubes.
- Understanding the formation and contribution of conductive networks is crucial for material performance.
Purpose of the Study:
- To analyze the 3D conductivity behavior of multi-walled carbon nanotube (MWCNT) networks in polymer nanocomposites.
- To investigate the contribution of individual MWCNTs to the overall electrical conduction.
- To determine the network structure relative to the percolation threshold.
Main Methods:
- Three-dimensional (3D) analysis of MWCNT networks at nanometer resolution.
- Investigation of conductivity behavior near and above the electrical percolation threshold.
Main Results:
- Most MWCNTs within the polymer nanocomposite do not contribute to the conductive network.
- This non-contribution occurs even when the material is slightly above the percolation threshold for electrical conduction.
- The 3D nanometer-resolution analysis reveals the intricate structure of conductive pathways.
Conclusions:
- The majority of MWCNTs are effectively isolated or do not form continuous pathways for electrical conduction.
- Material design strategies need to account for the limited contribution of individual nanotubes to conductivity.
- Optimizing nanocomposite conductivity requires a deeper understanding of network formation beyond simple filler loading.

