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Soft Matter
Article . 2025 . Peer-reviewed
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Research Collection
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ETH Zürich Research Collection
Article . 2025
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Soft Matter
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Predicting and parameterizing the glass transition temperature of atmospheric organic aerosol components via molecular dynamics simulations

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2025Embargo end date: 03 May 2025 Switzerland English Publisher:Royal Society of Chemistry (RSC)Journal:Soft Matter, volume 21, pages 3,880-3,889 (issn: 1744-683X, eissn: 1744-6848, Copyright policy )Funded by:HFRI | unidentified
Authors: Siachouli, Panagiota; Mavrantzas, Vlasis G.; Pandis, Spyros N.;

doi: 10.1039/d4sm01533a , 10.3929/ethz-b-000733483

pmid: 40265332

handle: 20.500.11850/733483

Predicting and parameterizing the glass transition temperature of atmospheric organic aerosol components via molecular dynamics simulations

Abstract

Atmospheric aerosols contain thousands of organic compounds that exhibit an array of functionalities, structures and characteristics.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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