Title:
Quantifying Hidden Order Out of Equilibrium
Quantifying Hidden Order Out of Equilibrium
No Thumbnail Available
Author(s)
Chaikin, Paul
Advisor(s)
Editor(s)
Collections
Supplementary to
Permanent Link
Abstract
While the equilibrium properties, states, and phase transitions of interacting systems are well described by statistical mechanics, the lack of suitable state parameters has hindered the understanding of non-equilibrium phenomena in divers settings, from glasses to driven systems to biology. Here we introduce a simple idea enabling the quantification of organization in non-equilibrium and equilibrium systems, even when the form of order is unknown. The length of a losslessly compressed data file is a direct measure of its information content [1]. Here we use data compression to study several out-of-equilibrium systems, and show that it both identifies ordering and reveals critical behavior in dynamical phase transitions. Our technique should provide a quantitative measure of organization in systems ranging from condensed matter systems in and out of equilibrium, to cosmology, biology and possibly economic and social systems.
Sponsor
Georgia Institute of Technology. College of Sciences
Georgia Institute of Technology. Institute for Materials
Georgia Institute of Technology. Parker H. Petit Institute for Bioengineering and Bioscience
Georgia Institute of Technology. School of Materials Science and Engineering
Georgia Institute of Technology. School of Physics
American Physical Society
Exxon Mobil Corporation
National Science Foundation (U.S.)
Georgia Institute of Technology. Institute for Materials
Georgia Institute of Technology. Parker H. Petit Institute for Bioengineering and Bioscience
Georgia Institute of Technology. School of Materials Science and Engineering
Georgia Institute of Technology. School of Physics
American Physical Society
Exxon Mobil Corporation
National Science Foundation (U.S.)
Date Issued
2018-04-20
Extent
44:58 minutes
Resource Type
Moving Image
Resource Subtype
Lecture