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Title: Energy landscape-driven non-equilibrium evolution of inherent structure in disordered material

Journal Article · · Nature Communications
DOI:https://doi.org/10.1038/ncomms15417· OSTI ID:1360078
 [1];  [2];  [3]
  1. Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Mechnical Engineering
  2. Oita Univ. (Japan). Division of Natural Sciences
  3. Joint Inst. for Neutron Sciences, Knoxville, TN (United States). Shull Wollan Center; Univ. of Tennessee, Knoxville, TN (United States). Dept. of Materials Science adn Engineering and Dept. of Physics and Astronomy; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Materials Science and Technology Division

Complex states in glasses can be neatly expressed by the potential energy landscape (PEL). But, because PEL is highly multi-dimensional it is difficult to describe how the system moves around in PEL. We demonstrate that it is possible to predict the evolution of macroscopic state in a metallic glass, such as ageing and rejuvenation, through a set of simple equations describing excitations in the PEL. The key to this simplification is the realization that the step of activation from the initial state to the saddle point in PEL and the following step of relaxation to the final state are essentially decoupled. Furthermore, the model shows that the interplay between activation and relaxation in PEL is the key driving force that simultaneously explains both the equilibrium of supercooled liquid and the thermal hysteresis observed in experiments. It further predicts anomalous peaks in truncated thermal scanning, validated by independent molecular dynamics simulation.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1360078
Journal Information:
Nature Communications, Vol. 8; ISSN 2041-1723
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 66 works
Citation information provided by
Web of Science

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Cited By (7)

Smart machine learning or discovering meaningful physical and chemical contributions through dimensional stacking journal August 2019
Atomistic structural mechanism for the glass transition: Entropic contribution journal January 2020
Revisiting the structure–property relationship of metallic glasses: Common spatial correlation revealed as a hidden rule journal January 2019
Local yield stress statistics in model amorphous solids journal March 2018
Shear band broadening in simulated glasses journal November 2018
Shear Band Broadening in Simulated Glasses text January 2018
Simple theory of viscosity in liquids journal December 2018

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