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UID:ce51be986f25da663fd98543b548cfe0
CATEGORIES:Mathematical Physics Seminar
CREATED:20260825T021443
SUMMARY:Webinar: Andrea  Liu - Structure-Function Relations in Tuned Matter
DESCRIPTION:Andrea Liu – University of Pennsylvania\nWednesday, September 16, 2026\nZoo
 m opens: 10:30AM EDT\nSeminar begins: 10:45AM EDT\nStructure-Function Relat
 ions in Tuned Matter\nI will argue that it is helpful to view complex colle
 ctive function in physical systems, including biological ones, as emerging 
 not from design but from optimization of systems made of tunable matter: co
 llections of physical components that interact with each other in ways that
  can be adjusted individually to produce collective behavior. For example, 
 proteins differ from random amino acid sequences in that they have been tun
 ed: the choice of amino acid at each point in the sequence can be viewed as
  a tunable degree of freedom that has been determined by the process of bio
 logical evolution. Tunable matter differs fundamentally from conventional m
 atter in that its emergent behavior can grow more complex with increasing s
 ystem size, and poses an exciting challenge to condensed matter and statist
 ical physics. For tuned matter with reciprocal interactions and function th
 at is an equilibrium or steady-state response, I will describe a structure-
 function relation that we have derived, which identifies tunable degrees of
  freedom that are important for function.\n
X-ALT-DESC;FMTTYPE=text/html:<p style="text-align: center;"><strong>Andrea Liu – </strong><strong>Univer
 sity of Pennsylvania</strong></p><p style="text-align: center;"><strong>Wed
 nesday, September 16,&nbsp;2026</strong></p><p style="text-align: center;">
 <strong>Zoom opens: 10:30AM EDT</strong></p><p style="text-align: center;">
 <strong>Seminar begins: 10:45AM EDT</strong></p><p style="text-align: cente
 r;"><strong>Structure-Function Relations in Tuned Matter</strong></p><p>I w
 ill argue that it is helpful to view complex collective function in physica
 l systems, including biological ones, as emerging not from design but from 
 optimization of systems made of&nbsp;<em>tunable matter</em>: collections o
 f physical components that interact with each other in ways that can be adj
 usted individually to produce collective behavior. For example, proteins di
 ffer from random amino acid sequences in that they have been <em>tuned</em>
 : the choice of amino acid at each point in the sequence can be viewed as a
  tunable degree of freedom that has been determined by the process of biolo
 gical evolution. Tunable matter differs fundamentally from conventional mat
 ter in that its emergent behavior can grow more complex with increasing sys
 tem size, and poses an exciting challenge to condensed matter and statistic
 al physics. For tuned matter with reciprocal interactions and function that
  is an equilibrium or steady-state response, I will describe a structure-fu
 nction relation that we have derived, which identifies tunable degrees of f
 reedom that are important for function.</p>
DTSTAMP:20260827T154451
DTSTART;TZID=America/New_York:20260916T104500
DTEND;TZID=America/New_York:20260916T120000
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