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DTSTAMP:20260424T113919Z
UID:1777282200@ist.ac.at
DTSTART:20260427T113000
DTEND:20260427T123000
DESCRIPTION:Speaker: Carl Goodrich\nhosted by Jérémie Palacci\nAbstract: 
 If the emergence of AI has taught us nothing else\, it is that simple func
 tions\, connected together at scale\, can lead to extreme emergent behavio
 r provided the internal settings are adjusted just so. Does this principle
  apply to material systems as well? Can simple\, well-understood physical 
 interactions enable complex\, maybe even life-like behavior if tuned at sc
 ale? Unlike most areas of science where we are trained to reduce the param
 eterization of a problem\, answering such questions forces us to embrace h
 igh-dimensional spaces in order to understand when and where extreme behav
 iors emerge. I will discuss efforts within my group to understand the phys
 ics of highly tunable material systems. First\, I will explain how physics
 -imposed constraints shape design spaces of self-assembling nanostructures
 \, leading to a quasi-analytical description of the system’s expressiven
 ess. Then\, I will discuss how tunable materials can contain a physical me
 mory of their past. While I will initially present the concept of a physic
 al memory in the context of tuned disordered solids\, the resulting theory
  provides a general framework for predicting and understanding memory in a
  range of tunable systems\, and I will speculate on such connections\, fro
 m evolution to cellular structure\, and from machine learning to the brain
 . Together\, these results provide critical foundational structure for the
  emerging interdisciplinary field of tunable matter.
LOCATION:ISTA | Central Building | Raiffeisen Lecture Hall\, ISTA
ORGANIZER:diana.zubcevic@ista.ac.at
SUMMARY:Carl Goodrich: Tunable Matter
URL:https://talks-calendar.ista.ac.at/events/6384
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