Directed aging, memory, and nature’s greed
Abstract
Disordered materials are often out of equilibrium and evolve very slowly in a rugged and tortuous energy landscape. This slow evolution, referred to as aging, is deemed undesirable as it often leads to material degradation. However, we show that aging also encodes a memory of the stresses imposed during preparation. Because of inhomogeneous local stresses, the material itself decides how to evolve by modifying stressed regions differently from those under less stress. Because material evolution occurs in response to stresses, aging can be “directed” to produce sought-after responses and unusual functionalities that do not inherently exist. Aging obeys a natural “greedy algorithm” as, at each instant, the material simply follows the path of most rapid and accessible relaxation. Our experiments and simulations illustrate directed aging in examples in which the material’s elasticity transforms as desired because of an imposed deformation.
- Authors:
-
[1];
[2];
[3];
- Univ. of Chicago, IL (United States)
- Univ. of Chicago, IL (United States); Pennsylvania State Univ., University Park, PA (United States)
- Pennsylvania State Univ., University Park, PA (United States)
- Publication Date:
- Research Org.:
- Univ. of Chicago, IL (United States); Pennsylvania State Univ., University Park, PA (United States); Univ. of Pennsylvania, Philadelphia, PA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1596356
- Alternate Identifier(s):
- OSTI ID: 1856748
- Grant/Contract Number:
- FG02-03ER46088; FG02-05ER46199
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Science Advances
- Additional Journal Information:
- Journal Volume: 5; Journal Issue: 12; Journal ID: ISSN 2375-2548
- Publisher:
- AAAS
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; Aging; memory; pruning; jammed packing; greedy algorithm; Poisson's ratio; auxetic; allostery; directed aging, nonequilibrium statistical physics, mechanical metamaterials; mechanical Metamaterials, auxetic, mechanical networks, aging
Citation Formats
Pashine, Nidhi, Hexner, Daniel, Liu, Andrea J., and Nagel, Sidney R. Directed aging, memory, and nature’s greed. United States: N. p., 2019.
Web. doi:10.1126/sciadv.aax4215.
Pashine, Nidhi, Hexner, Daniel, Liu, Andrea J., & Nagel, Sidney R. Directed aging, memory, and nature’s greed. United States. https://doi.org/10.1126/sciadv.aax4215
Pashine, Nidhi, Hexner, Daniel, Liu, Andrea J., and Nagel, Sidney R. Fri .
"Directed aging, memory, and nature’s greed". United States. https://doi.org/10.1126/sciadv.aax4215. https://www.osti.gov/servlets/purl/1596356.
@article{osti_1596356,
title = {Directed aging, memory, and nature’s greed},
author = {Pashine, Nidhi and Hexner, Daniel and Liu, Andrea J. and Nagel, Sidney R.},
abstractNote = {Disordered materials are often out of equilibrium and evolve very slowly in a rugged and tortuous energy landscape. This slow evolution, referred to as aging, is deemed undesirable as it often leads to material degradation. However, we show that aging also encodes a memory of the stresses imposed during preparation. Because of inhomogeneous local stresses, the material itself decides how to evolve by modifying stressed regions differently from those under less stress. Because material evolution occurs in response to stresses, aging can be “directed” to produce sought-after responses and unusual functionalities that do not inherently exist. Aging obeys a natural “greedy algorithm” as, at each instant, the material simply follows the path of most rapid and accessible relaxation. Our experiments and simulations illustrate directed aging in examples in which the material’s elasticity transforms as desired because of an imposed deformation.},
doi = {10.1126/sciadv.aax4215},
journal = {Science Advances},
number = 12,
volume = 5,
place = {United States},
year = {Fri Dec 20 00:00:00 EST 2019},
month = {Fri Dec 20 00:00:00 EST 2019}
}
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