Multi-scale Modeling of Empirical Measurements on Nanocomposite Polymeric Films for Predictive Characterization

Abstract

The goal is to demonstrate computational tool creation by modeling dielectric performance on a continuum scale and using empirical data to validate the models so that it can be used to predict proformance. Specific model development steps include:Task 1: Four plausible mechanisms for charge injection: Direct tunneling, Schottkyemission, Fowler-Nordheim tunneling, and Thermionic Field emission will be studied.Empirical data above and below Tg will be used to identify charge injection and bulktransport mechanisms through nanocomposite film consisting of Al2O3 fillers at a knownloading dispersed in a terpolymer binder. Extracted parameters viz. barrier height,effective electron mass, equivalent oxide thickness, mean hopping distance, trap depth,and DOS in the conduction band will be used together with measured I-V data andhopping mobility for multi-scale simulations using original and self-consistent continuumand particle models to predict leakage conduction behavior at high temperature and highE field.~~Task 2: Compare and refine continuum and particle model predictions to show they haveexcellent agreement with measured conductance data. Show that re-calculated currentdensities compare extremely well with measured values. Compute detailed time-evolvedcharge maps to quantify the dynamics of the spatial and temporal charge distributions.Include complementary empirical measurements, e.g. TSDC to further refine trap densityand related estimates.~~Task 3: Use customized tools to perform parametric studies over the range of E field andtemperature and explore nanofiller shape, size, and loading dependence. Co-authorpublications to disseminate findings. Document research activities in publications.~~Task 4: Wrap up effort and document accomplishments in final report.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 30, 2016
Source ID
N000141612846

Entities

People

  • Meng Lean

Organizations

  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Data Mining and Knowledge Discovery.
  • Plasma Physics.

Technology Areas

  • Microelectronics