Final Report: Radical Artificial Intelligence for Multiphase Environmental Systems

Abstract

The major goals of this project were to 1.) instruct a deep learning system with radical training reactions 2.) combine radical and polar rule-based chemistry for single step reactions in a deep learning system 3.) build on the single step approach for combined radical and polar chemistry in multi-generation oxidation 4.) test and evaluate the deep learning system at all stages of model development.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 2022
Accession Number
AD1221606

Entities

People

  • Ann M. Carlton
  • David L. Van Vranken
  • Pierre Baldi

Organizations

  • University of California, Irvine

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Instructional Design and Training Evaluation.
  • Molecular Photonics/Laser Physics

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation
  • AI & ML - Neural Networks