Quantification and Visualization of Percolation in Polymer Nanocomposites using Computational Reverse-Engineering Analysis for Scattering Experiments (CREASE)

Loading...
Thumbnail Image
Penn collection
Interdisciplinary Centers, Units and Projects::Center for Undergraduate Research and Fellowships (CURF)::Fall Research Expo
Degree type
Discipline
Materials Engineering
Subject
Polymers, Polymer Nanocomposites
Funder
Grant number
Copyright date
2025
Distributor
Related resources
Author
York, Dylan
Hughes, Justin
Shah Ashish, Jay
Jayaraman, Arthi
Composto, Russell
Contributor
Abstract

Polymer nanocomposites have shown promising results as a sustainable alternative to the modern energy storage problem. The structures of these nanocomposites within the polymer matrix play a major role in controlling their applicable properties. However, qualitative descriptors are often used that are difficult to integrate into numerically based analysis. To address this challenge, this project attempts to “score” degrees of aggregation in polymer nanocomposites on a continuous scale based on 3D reconstructions of these systems via CREASE.

Advisor
Date of presentation
2025
Conference name
Conference dates
Conference location
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
This project was supported with funding from the Penn Undergraduate Research Mentoring (PURM) program.
Recommended citation
Collection