Statistical Multiscale Property Metrics for Nanorod and Nanoplatelet Composite Membranes and Films
Abstract
This proposal outlines a strategy to construct statistical multiscale metrics for nano-rod and nano-platelet films and membranes, integrating over the processing-to-property pipeline. We first identify and model the sources of randomness and uncertainty. Next we describe our existing probabilistic tools and results for hydrodynamic processing of nano-rod and nano-platelet membranes and films. These previous results provide statistical databases, and the means to generate data on demand for flow-processed nano-rod films and membranes; the purpose of the proposed effort is that existing property metrics for these material systems have been wholly inadequate except near percolation thresholds for isotropic rod dispersions. In response, we propose a new bridge between flow-processing statistical databases and property metrics in the form of network graphs. Spectral graph analysis and computation generate bulk-to-particle scale properties, while sufficient realizations give robust property statistics
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 03, 2016
- Accession Number
- AD1058570
Entities
People
- Feng Shi
- M. G. Forest
- Peter J. Mucha
- Ruhai Zhou
- Simi Wang
Organizations
- University of North Carolina at Chapel Hill