Nanothermodynamics Applied to Thermal Processes in Heterogeneous Materials

Abstract

Small-system thermodynamics provides a novel paradigm for understanding the complex response inside bulk materials. This nanothermodynamics yields a systematic way to treat entropic forces, which come from fluctuations in the density, alignment, and number of interacting particles. Although usually neglected in most computer simulations, these entropic forces can alter reaction rates by several orders of magnitude across length scales of nanometers. We show that such entropic forces are necessary to maintain conservation of energy and maximum entropy during equilibrium fluctuations. Furthermore, adding entropic forces improves agreement between computer simulations and the measured properties of many materials. Another result is that finite-size thermal effects cause simple models to exhibit complex dynamics. To expand the usefulness of our fundamental research, we collaborate with experts in the area of energetic materials. We have found that similar finite-size thermal effects occur in molecular-dynamics simulations of nitromethane. Future applications of nanothermodynamics will be facilitated by continuing to collaborate with such experts. Our goal is to optimize the accuracy, efficiency, and predictive power of large-scale simulations for the complex dynamics inside energetic materials.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 03, 2012
Accession Number
ADA571457

Entities

People

  • Ralph V. Chamberlin

Organizations

  • Arizona State University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Chemical Reactions
  • Complex Systems
  • Computer Simulations
  • Energetic Materials
  • Energy
  • Ferromagnetic Materials
  • Heat Energy
  • Kinetic Energy
  • Molecular Dynamics
  • Monte Carlo Method
  • Specific Heat
  • Statistical Mechanics
  • Statistical Thermodynamics
  • Statistics
  • Thermodynamics
  • Transition Temperature

Fields of Study

  • Physics

Readers

  • Combustion science or combustion engineering.
  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development