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The Kovacs effect is a remarkable feature of the ageing dynamics of glass forming liquids near the glass transition temperature. It consists in a non-monotonous evolution of the volume/enthalpy after a succession of two abrupt temperature changes: fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74c0ea11d13fa09ccd7e8b0fff711fb4
https://orca.cardiff.ac.uk/id/eprint/144397/1/1910.10374.pdf
https://orca.cardiff.ac.uk/id/eprint/144397/1/1910.10374.pdf
Publikováno v:
Physical review letters. 125(26)
We perform kinetic Monte Carlo simulations of a distinguishable-particle lattice model of structural glasses with random particle interactions. By varying the interaction distribution and the average particle hopping energy barrier, we obtain an extr
We report an analytical evaluation of the mean-squared displacement (MSD) of the particles in glasses based on their coarse grained trajectories. The calculation is conducted by means of a local random configuration-tree theory that was recently prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7524476f8d7c085d9cdf114d60e18864
Autor:
Chi Hang Lam, Ling-Han Zhang
Publikováno v:
Physical Review B. 95
We propose an interacting lattice gas model of structural glass characterized by particle distinguishability and site-particle-dependent random nearest-neighboring particle interactions. This incorporates disorder quenched in the configuration space
Publikováno v:
Applied Mechanics and Materials. :635-639
Traditional contacting measure method can easily cause cigarette filter rod distortion and needs long measure time. Its measure precision is difficult to satisfy practice demand and it cannot implement online measure. In order to overcome these short
Publikováno v:
Advanced Materials Research. :3081-3085
Measurements of seepage are fundamental for earth dam surveillance. However, it is difficult to establish an effective and practical dam seepage prediction model due to the nonlinearity between seepage and its influencing factors. Genetic Algorithm f
Publikováno v:
Journal of Statistical Mechanics: Theory & Experiment; Sep2019, Vol. 2019 Issue 9, p1-1, 1p
Autor:
Chun-Shing Lee1, Lulli, Matteo1,2, Ling-Han Zhang3, Hai-Yao Deng4, Chi-Hang Lam1 C.H.Lam@polyu.edu.hk
Publikováno v:
Physical Review Letters. 12/31/2020, Vol. 125 Issue 26, p1-1. 1p.