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PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:IMX Talks - Random Walk on Foams
DTSTART:20251013T110000
DTEND:20251013T120000
DTSTAMP:20260921T214300Z
UID:7fc0ed6f28b6e0483c89e1a3a36f58cc0fe36afc7324f15417d14f08
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Mikko Alava\, Aalto University\, Finland\nThis present
 ation gives a perspective at foam physics research at Aalto. The story sta
 rts with basic studies of foam (an elastoplastic material) yielding mixed 
 up with machine learning to understand the data. Then we move over to a lu
 cky discovery and its consequences: how to make bio-based solid foams expl
 oiting wet foam rheology\, These materials may be and need to be tailored 
 to various purposes like better water resistance or foam structure. We poi
 nt to two start-ups that resulted from playing around with foams. Finally\
 , the talk wraps up foam design by showing how this can be sped up exploit
 ing Bayesian Optimization\, a surrogate for machine learning.\n\nBio: Mikk
 o Alava is a professor at Aalto University\, Finland and held until recent
 ly a secondary appointment as the director at the NOMATEN Center of Excell
 ence at the National Center for Nuclear Research in Poland. Alava has focu
 sed on the complex behavior of all kinds of materials from paper to disloc
 ation physics in metals using the microscope of statistical physics. and l
 ately this has expanded to (bio-based) foams as a plastics substitute. Foa
 ms are an example of the process-structure-property paradigm in materials 
 science\, and are thus a prime candidate for the application of machine le
 arning tools.\n 
LOCATION:MED 1 1518 https://plan.epfl.ch/?room==MED%201%201518
STATUS:CONFIRMED
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