Calculations of the active mode and energetic barrier to electron attachment to CF3 and comparison with kinetic modeling of experimental results

Abstract

Six-dimensional potential energy surfaces of both CF3 and CF3− were developed by fitting ∼3000 ab initio points using the permutation invariant polynomial-neural network (PIP-NN) approach.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2016
Source ID
10.1039/c6cp05867a

Entities

People

  • Albert A Viggiano
  • Benjamin Alday
  • Hua Guo
  • Huixian Han
  • Justin P. Wiens
  • Jürgen Troe
  • Nicholas S Shuman

Organizations

  • Air Force Office of Scientific Research
  • Air Force Research Laboratory
  • Kirtland Air Force Base
  • National Natural Science Foundation of China
  • United States Army
  • University of Göttingen
  • University of New Mexico
  • Yusuf Hamied Department of Chemistry

Tags

Readers

  • Calculus or Mathematical Analysis
  • Canadian European Scientific Immigration and Epilepsy Clearance Studies
  • Quantum Chemistry

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Microelectronics