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SUMMARY:MEchanics GAthering –MEGA- Seminar: No Strain No Gain\, Tunable 
 materials through training
DTSTART:20250508T161500
DTEND:20250508T170000
DTSTAMP:20260922T000109Z
UID:358d7e44bbc2a9eb6a268a67738104091ad48ed261778c4cff71336b
CATEGORIES:Conferences - Seminars
DESCRIPTION:Savannah D. Gowen\, (Soft Materials Laboratory)\, ETHZ\nAbstra
 ct: Disordered elastic networks are model materials for disordered system
 s from jammed sand grains to polymers. It has been shown that metamaterial
 s formed from macroscopic disordered network arrays of bonds and nodes can
  be trained to exhibit novel elastic functions: for example\, unlike most 
 natural materials these networks can be trained to display a negative Pois
 son’s ratio in which they respond to compression along one axis by contr
 acting along all the others. Another novel elastic property is inspired by
  protein allostery: the binding of a molecule at one site in a protein tri
 ggers the ability of a distant site to bind to another molecule. Likewise\
 , this action-at-a-distance can be implemented mechanically: Applying stra
 in locally to a set of source nodes in the material activates a strain res
 ponse at a distant set of target nodes. Here we show that novel bulk and l
 ocal function can be achieved without heavy computation through directed a
 ging in physical materials\; a technique in which directed strain triggers
  material adaptation. We also show how networks made from liquid crystal e
 lastomers can be both trained\, reset and retrained\, demonstrating a meta
 material with pluripotent function.\n\nBio: Savannah Gowen is a postdoc i
 n the Department of Materials at ETH Zurich investigating micro mechanics 
 of colloidal gels. She recently finished her PhD in physics at the Univers
 ity of Chicago where she specialized in fluid pattern formation and in tun
 ing the elastic properties of disordered macroscopic network based meta-ma
 terials. 
LOCATION:MED 1 1518 https://plan.epfl.ch/?room==MED%201%201518 https://epf
 l.zoom.us/j/67041786969?pwd=a1lXa3lsVGpvL1VpN2RDR2l4clg0QT09
STATUS:CONFIRMED
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