Condensed-Phase Property Estimates for 1,5,9-Decatriene and Myrcene Derived from Atomistic Molecular Dynamics Simulations

Abstract

In support of a program to develop and apply machine learning methods to accelerate the creation of detailed finite-rate chemical kinetics mechanisms, atomistic molecular dynamics methods were employed to obtain estimates for some condensed-phase properties of 1,5,9-decatriene and myrcene. Protocols for estimating their densities, enthalpies of vaporization, and self-diffusion coefficients as a function of temperature are summarized and the results presented. The enthalpy-of-vaporization estimates were combined with gas-phase enthalpy-of-formation estimates to obtain condensed-phase enthalpy-of-formation estimates for the pair. The self-diffusion coefficient estimates were employed to parameterize a function we use in computing rate coefficients for elementary condensed-phase reactions. Those results are also presented and discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2023
Accession Number
AD1204917

Entities

People

  • Chiung-chu Chen
  • Christopher P. Stone
  • In-Chul Yeh
  • Jeffrey D . Veals
  • Michael J. McQuaid

Organizations

  • United States Army Research Laboratory

Tags

Readers

  • Combustion science or combustion engineering.
  • Polymer Science and Technology
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference