Contract W911NF-12-1-0422 (University of Kentucky)
Abstract
This transdisciplinary project sought to develop new statistical methods and theory for multivariate nonparametric regression along with a new analytic model for near-field emission by a nanoparticle on a surface. A short-term goal of the research was to establish a quantitative framework for characterizing nanoparticles nonintrusively and in real time on properties that could influence the near-field thermal spectrum in a nanoscale-gap thermophotovoltaic (nano-TPV) apparatus. A long-term goal was (and still is) to engineer nanostructured surfaces selectively emitting thermal radiation in the near field for efficient nano-TPV power generation. The short-term goal was pursued through three objectives: (1) develop theory and methods for compound estimation of mean response functions and their derivatives with multiple predictor variables and multiple outcome variables; (2) develop an analytic model for near-field thermal emission by a nanoparticle on a surface to describe how nanoparticle properties affect the near-field thermal spectrum; and, (3) assess the potential utility of a nanoparticle characterization framework based on the compound estimation of evanescent wave scattering patterns and their derivatives.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 31, 2013
- Accession Number
- ADA606709
Entities
People
- Cidambi Srinivasan
- Mathieu Francoeur
- Richard Charnigo
Organizations
- University of Kentucky