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DTSTART:19700308T020000
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DTSTAMP:20250822T115805Z
LOCATION:Room 5.2A17
DTSTART;TZID=Europe/Stockholm:20250616T143000
DTEND;TZID=Europe/Stockholm:20250616T150000
UID:submissions.pasc-conference.org_PASC25_sess145_msa271@linklings.com
SUMMARY:Segmentation Resolves Complex Adsorption Landscapes on Heterogeneo
 us Surfaces
DESCRIPTION:Mattia Turchi (Empa)\n\nHeterogeneous surfaces, such as amorph
 ous silica, are characterized by a variety of local atomic environments. T
 he mutual disposition of individual local environments (i.e., different ad
 sorption sites) impacts the adsorption behavior of gas molecules. The resu
 lting adsorption landscape displays irregularly shaped patterns that must 
 be segmented to resolve the complexity of the adsorption mechanisms. We pr
 opose an optimized segmentation protocol that allows the control of the ex
 tension and morphology of the segmented patterns. We optimize the segmenta
 tion protocol to predict the mean residence time of carbon dioxide within 
 segmented regions, which allows the identification of regions where the re
 sidence time does not follow an exponential distribution. The\ndeviation f
 rom the exponential distribution is the signature of the presence of surfa
 ce defects on the amorphous surfaces. The residence time distributions ser
 ve to implement up-scaled adsorption models such as microkientic models. N
 ext, we investigate the effect of the adsorption sites on the adsorption l
 andscape to find a correlation between highly adsorptive regions and the u
 nderlying\nlocal environment.\n\nDomain: Chemistry and Materials, Climate,
  Weather, and Earth Sciences, Applied Social Sciences and Humanities, Engi
 neering, Life Sciences, Computational Methods and Applied Mathematics\n\nS
 ession Chair: Miroslava Nedyalkova (University of Fribourg)\n\n
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