Developing a machine learning tool to optimize thermal transport

By Adam Sandor Garrett1; proycho1; Xiulin Ruan1; creynolds2

1. Purdue University 2. Lockheed Martin

Download (PDF)

Category

Presentation Materials

Published on

Abstract

The purpose of this tool is to optimize SiGe super-lattices to have the lowest possible thermal conductivity. This poster describes the processes used in the tool and how it impacts thermoelectrics.

Cite this work

Researchers should cite this work as follows:

  • Adam Sandor Garrett, proycho, Xiulin Ruan, creynolds (2018), "Developing a machine learning tool to optimize thermal transport," https://nanohub.org/resources/28843.

    BibTex | EndNote

Tags

  1. genetic algorithm
  2. NCN URE
  3. rappture
  4. thermal transport
  5. thermoelectricity/thermoelectrics
  6. undergraduate research