3D reconstruction of carbon nanotube networks from neutron scattering experiments

Nanotechnology
Mostafa MahdaviMehran Tehrani

Abstract

Structure reconstruction from statistical descriptors, such as scattering data obtained using x-rays or neutrons, is essential in understanding various properties of nanocomposites. Scattering based reconstruction can provide a realistic model, over various length scales, that can be used for numerical simulations. In this study, 3D reconstruction of a highly loaded carbon nanotube (CNT)-conducting polymer system based on small and ultra-small angle neutron scattering (SANS and USANS, respectively) data was performed. These light-weight and flexible materials have recently shown great promise for high-performance thermoelectric energy conversion, and their further improvement requires a thorough understanding of their structure-property relationships. The first step in achieving such understanding is to generate models that contain the hierarchy of CNT networks over nano and micron scales. The studied system is a single walled carbon nanotube (SWCNT)/poly (3,4-ethylenedioxythiophene):poly (styrene sulfonate) ( PSS). SANS and USANS patterns of the different samples containing 10, 30, and 50 wt% SWCNTs were measured. These curves were then utilized to calculate statistical two-point correlation functions of the nanostructure. The...Continue Reading

References

Oct 13, 2007·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Y JiaoS Torquato
May 10, 2008·Journal of the American Chemical Society·Tirtha ChatterjeeRamanan Krishnamoorti

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Citations

Mar 7, 2021·Polymers·I Jénnifer GómezNuria Alegret

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