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BEGIN:VEVENT
DTSTAMP:20260524T180331Z
UID:https://www.fhi.mpg.de/events/45775/327086
DTSTART:20260626T120000Z
DTEND:20260626T130000Z
CLASS:PUBLIC
CREATED:20260521T111013Z
DESCRIPTION:Change notice: ISC Department Seminar \nChemical processes at m
 etal oxide - water interfaces are of central importance in geochemistry\, 
 biology\, and energy technologies. A better understanding of these process
 es is essential for progress in these fields. Computational modeling is in
 dispensable to accomplishing this task because complexity and disorder oft
 en makes it difficult to extract atomistic information from experiments. B
 alancing computational cost and accuracy\, simulation schemes based on eff
 icient machine learning representations of the potential energy surface pr
 edicted by ab initio calculations have become increasingly popular over th
 e last decade. In this talk\, I will discuss recent applications of deep n
 eural network based molecular dynamics simulations to understand the struc
 ture and chemistry of aqueous oxide interfaces. Specific topics will inclu
 de proton transfer processes on surfaces of relevance in photo-electrochem
 istry\, such as TiO<sub>2</sub> and IrO<sub>2</sub>\, and the influence of
  the adsorption of organic species on the water structure and wettability 
 of the interface.\nSpeaker: Prof Annabella Selloni
LAST-MODIFIED:20260521T111740Z
LOCATION:Building P\, Faradayweg 16\, 14195 Berlin\, Room: Seminar Room P 2
 .05
ORGANIZER;CN=Interface Science Department:mailto:steinhagen@fhi-berlin.mpg.
 de
SUMMARY:Understanding Adsorption and Reactions at Aqueous Oxide Interfaces 
 with Machine Learning Models
URL;VALUE=URI:https://www.fhi.mpg.de/events/45775/327086
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