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Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
Published on: September 17, 2021
Aging to equilibrium dynamics of SiO2
K Vollmayr-Lee1, J A Roman, J Horbach
1Department of Physics and Astronomy, Bucknell University, Lewisburg, Pennsylvania 17837, USA. kvollmay@bucknell.edu
Molecular dynamics simulations reveal three distinct aging dynamics in SiO2. The study tracks the transition from out-of-equilibrium to equilibrium states, identifying key time-dependent behaviors in structural relaxation.
Area of Science:
- Materials Science
- Computational Physics
- Chemical Engineering
Background:
- Aging dynamics in amorphous materials like SiO2 are crucial for understanding their long-term stability and properties.
- Previous studies often focused on equilibrium states or short aging times, limiting insights into the transition dynamics.
Purpose of the Study:
- To investigate the aging dynamics of amorphous SiO2 using molecular dynamics simulations.
- To characterize the transition from out-of-equilibrium to equilibrium states after temperature quenching.
- To analyze the behavior of partial structure factors, intermediate scattering function, and mean-square displacement during aging.
Main Methods:
- Utilizing molecular dynamics computer simulations with the BKS model for SiO2.
- Performing simulations starting from equilibrated configurations at high temperatures and quenching to lower temperatures.
- Analyzing the generalized incoherent intermediate scattering function (Cq) and mean-square displacement (Δr2) over various waiting times (tw).
Main Results:
- Three distinct aging regimes were identified based on waiting time (tw).
- Short tw: Fast decay without plateau in Cq and Δr2. Intermediate tw: Plateau formation, time superposition, and scaling behavior.
- Long tw: System reaches equilibrium, independent of initial temperature (Ti) and tw.
Conclusions:
- The study successfully characterized the out-of-equilibrium to equilibrium transition in SiO2 aging dynamics.
- Observed time superposition and scaling behaviors provide a framework for understanding amorphous material aging.
- The findings offer valuable insights for predicting the long-term performance of silica-based materials.
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