High-Fidelity Coupling Of Predictive Plasma-Wall Models

Abstract

They will conduct measurements and theoretical analysis of the plasma properties inside the plasma sheath, as well as measurements and modeling of the material response to the plasma, will generate models of the plasma-wall interaction which can predict the effect of wall material on bulk plasma properties.

Document Details

Document Type
DoD Grant Award
Publication Date
Dec 05, 2016
Source ID
FA95501610341

Entities

People

  • Mitchell L R Walker

Organizations

  • Air Force Office of Scientific Research
  • Georgia Tech Research Corporation
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Plasma Physics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference