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Download fileEnergy Renormalization for Coarse-Graining the Dynamics of a Model Glass-Forming Liquid
journal contribution
posted on 03.02.2018, 18:15 authored by Wenjie Xia, Jake Song, Nitin K. Hansoge, Frederick R. Phelan, Sinan Keten, Jack F. DouglasCoarse-grained modeling achieves
the enhanced computational efficiency
required to model glass-forming materials by integrating out “unessential”
molecular degrees of freedom, but no effective temperature transferable
coarse-graining method currently exists to capture dynamics. We address
this fundamental problem through an energy-renormalization scheme,
in conjunction with the localization model of relaxation relating
the Debye–Waller factor ⟨u2⟩ to the structural relaxation time τ. Taking ortho-terphenyl
as a model small-molecule glass-forming liquid, we show that preserving
⟨u2⟩ (at picosecond time
scale) under coarse-graining by renormalizing the cohesive interaction
strength allows for quantitative prediction of both short- and long-time
dynamics covering the entire temperature range of glass formation.
Our findings provide physical insights into the dynamics of cooled
liquids and make progress for building temperature-transferable coarse-grained
models that predict key properties of glass-forming materials.
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dynamicbuilding temperature-transferable coarse-grained modelsenergy-renormalization schemeModel Glass-Forming Liquid Coarse-grained modelingglass formationcoarse-graining methodenergy Renormalizationinteraction strengthmodel glass-forming materialsmodel small-molecule glass-formingrelaxation time τ.glass-forming materialslocalization modeltemperature rangepicosecond time scale