Back to Search
Start Over
Glass Transition in Supercooled Liquids with Medium-Range Crystalline Order
- Source :
- Physical review letters. 121(8)
- Publication Year :
- 2017
-
Abstract
- The origins of rapid dynamical slow down in glass forming liquids in the growth of static length scales, possibly associated with identifiable structural ordering, is a much debated issue. Growth of medium range crystalline order (MRCO) has been observed in various model systems to be associated with glassy behaviour. Such observations raise the question about the eventual state reached by a glass former, if allowed to relax for sufficiently long times. Is a slowly growing crystalline order responsible for slow dynamics? Are the molecular mechanisms for glass transition in liquids with and without MRCO the same? If yes, glass formers with MRCO provide a paradigm for understanding glassy behaviour generically. If not, systems with MRCO form a new class of glass forming materials whose molecular mechanism for slow dynamics may be easier to understand in terms of growing crystalline order, and should be approached in that manner, even while they will not provide generic insights. In this study we perform extensive molecular dynamics simulations of a number of glass forming liquids in two dimensions and show that the static and dynamic properties of glasses with MRCO are different from other glass forming liquids with no predominant local order. We also resolve an important issue regarding the so-called Point-to-set method for determining static length scales, and demonstrate it to be a robust, order agnostic, method for determining static correlation lengths in glass formers.
- Subjects :
- Materials science
Slowdown
General Physics and Astronomy
FOS: Physical sciences
02 engineering and technology
Viscous liquid
Condensed Matter - Soft Condensed Matter
01 natural sciences
Condensed Matter::Disordered Systems and Neural Networks
Glass forming
Molecular dynamics
0103 physical sciences
010306 general physics
Supercooling
Condensed Matter - Statistical Mechanics
Statistical Mechanics (cond-mat.stat-mech)
Disordered Systems and Neural Networks (cond-mat.dis-nn)
Condensed Matter - Disordered Systems and Neural Networks
021001 nanoscience & nanotechnology
Condensed Matter::Soft Condensed Matter
Order (biology)
Chemical physics
Medium range
Soft Condensed Matter (cond-mat.soft)
0210 nano-technology
Glass transition
Subjects
Details
- ISSN :
- 10797114
- Volume :
- 121
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Physical review letters
- Accession number :
- edsair.doi.dedup.....1ee5acff1b720e701f754b366aa28425