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Auteurs principaux: Hecksher, Tina, Niss, Kristine
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2408.12401
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author Hecksher, Tina
Niss, Kristine
author_facet Hecksher, Tina
Niss, Kristine
contents In a recent paper, Di Lisio et al. [J. Chem. Phys. 159 064505 (2023)] analyzed a series of temperature down-jumps using the single-parameter aging (SPA) ansatz combined with a specific assumption about density scaling in the out-of-equilibrium system and did not find a good prediction for the largest down-jumps. In this paper we show that SPA in its original form does work for all their data including large jumps of ΔT > 20 K. Furthermore, we discuss different approaches to the extension of the density scaling concept to out-of-equilibrium systems.
format Preprint
id arxiv_https___arxiv_org_abs_2408_12401
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Single parameter aging and density scaling
Hecksher, Tina
Niss, Kristine
Soft Condensed Matter
In a recent paper, Di Lisio et al. [J. Chem. Phys. 159 064505 (2023)] analyzed a series of temperature down-jumps using the single-parameter aging (SPA) ansatz combined with a specific assumption about density scaling in the out-of-equilibrium system and did not find a good prediction for the largest down-jumps. In this paper we show that SPA in its original form does work for all their data including large jumps of ΔT > 20 K. Furthermore, we discuss different approaches to the extension of the density scaling concept to out-of-equilibrium systems.
title Single parameter aging and density scaling
topic Soft Condensed Matter
url https://arxiv.org/abs/2408.12401