Micron-scale Field Emission Model for PIC-DSMC Simulations Based on Nanoscale Surface Characterization

11 Mar 2021, 16:05
20m
Online

Online

Virtual Poster Poster Session

Speaker

Chris Moore (Sandia National Labs)

Description

We present a model for stochastic, micron-scale field emission for use in Particle-In-Cell Direct Simulation Monte Carlo (PIC-DSMC) simulations of vacuum discharge. PIC-DSMC simulations of mm-sized electrodes cannot resolve atomic-scale (nm) surface features and therefore we generate micron-scale probability density distributions for an effective “local” work function, field enhancement factor, and emission area. Each micron-scale surface element in the PIC-DSMC simulation draws independent values from the atomic scale measured distributions for local work function and topological field enhancement factor (beta). In the present work, we use data from atomic-scale (nm) surface characterization using Scanning Tunneling Microscopy (STM), Atomic Force Microscopy (AFM), and Photoemission Electron Microscopy (PEEM) to generate a representative probability density distribution of the work function and field enhancement factor (beta) for a sputter-deposited Pt surface. We compare simulated Fowler-Nordheim field emission currents from the (~nm) mesh-resolved, as-measured surface with the currents generated using the micron-scale model on a coarse mesh with a perfectly flat representative surface. Some effort has been made to compare emission currents for the coarsened model to equivalent current densities from atomic-scale STM current measurements.

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.

Primary authors

Chris Moore (Sandia National Labs) Dr Ezra Bussmann (Sandia National Labs) Dr Taisuke Ohta (Sandia National Labs) Ashish Jindal (Sandia National Laboratories) Prof. Nick Roberds (Sandia National Labs) Matthew Hopkins (Sandia National Laboratories)

Presentation materials