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In spallation neutron sources, liquid mercury is the subject of big thermal and pressure shocks, upon adsorbing the proton beam. These changes can cause unstable bubbles in the liquid, which can damage the structural material. While there…

The propensity of water to remain in a metastable liquid state at temperatures below its equilibrium melting point holds significant potential for cryopreserving biological material such as tissues and organs. The benefits conferred are a…

Materials Science · Physics 2023-12-04 Anthony N. Consiglio , Yu Ouyang , Matthew J. Powell-Palm , Boris Rubinsky

The ground state of a two-dimensional, harmonically confined mesoscopic assembly of up to thirty polar molecules is studied by computer simulations. As the strength of the confining trap is increased, clusters evolve from superfluid, to…

Mesoscale and Nanoscale Physics · Physics 2013-06-07 Massimo Boninsegni

We simulate the melting of a 71 A diameter cluster of Cu. At low temperatures the crystal exhibits facets. With increasing temperatures the open facets pre-melt, the melted regions coalesce into a liquid envelope containing a crystalline…

Condensed Matter · Physics 2015-06-25 Ole H. Nielsen , James P. Sethna , Per Stoltze , Karsten W. Jacobsen , Jens K. Norskov

We study the nucleation of crystalline cluster phases in the generalized exponential model with exponent n=4. Due to the finite value of this pair potential for zero separation, at high densities the system forms cluster crystals with…

Soft Condensed Matter · Physics 2016-09-01 Christian Leitold , Christoph Dellago

Large scale Molecular Dynamics simulations of sixty-five systems with N=80000 Lennard-Jones particles at two different supercooled liquid state points reveals, that the supercooled states contain spatially heterogeneous distributed…

Soft Condensed Matter · Physics 2021-02-17 Søren Toxvaerd

Crystallization is one of the most important phase transformations of first order. In the case of metals and alloys, the liquid phase is the parent phase of materials production. The conditions of the crystallization process control the…

Materials Science · Physics 2016-11-03 Diter M. Herlach , Thomas Palberg

Below the melting temperature $T_m$ crystals are the stable phase of typical elemental or molecular systems. However, cooling down a liquid below $T_m$, crystallization is anything but inevitable. The liquid can be supercooled, eventually…

Disordered Systems and Neural Networks · Physics 2017-03-07 M. Zanatta , L. Cormier , L. Hennet , C. Petrillo , F. Sacchetti

Diamonds melt at temperatures above 4000 K. There are no measurements of the steady-state rate of the reverse process: diamond nucleation from the melt, because experiments are difficult at these extreme temperatures and pressures. Using…

Soft Condensed Matter · Physics 2015-05-13 L. M. Ghiringhelli , C. Valeriani , E. J. Meijer , D. Frenkel

The classical nucleation theory for homogeneous nucleation is formulated as a theory for a density fluctuation in a supersaturated gas at a given temperature. But Molecular Dynamics simulations reveal that it is small cold clusters which…

Other Condensed Matter · Physics 2015-10-28 Søren Toxvaerd

In a large variety of ideal crystals we found that when rapidly migrating atoms squash or annihilate a neighbouring vacancy and produce a disordered cluster, the heat of migration stored in the system exceeds the enthalpy increase required…

Materials Science · Physics 2015-05-19 L. W. Wang , Q. Wang , K. Q. Lu

The Classical Nucleation Theory allegedly fails to describe the temperature dependence of the homogeneous crystal nucleation rates below the temperature of maximum nucleation, $T_{\mathrm{max}}$. Possible explanations for this suspected…

Soft Condensed Matter · Physics 2020-07-22 Daniel Roberto Cassar , André Hofmeister Serra , Oscar Peitl , Edgar Dutra Zanotto

We report the first observation of homogeneous crystallization in simulated high-dimensional ($d > 3$) liquids that follow physically realistic dynamics and have system sizes that are large enough to eliminate the possibility that…

Soft Condensed Matter · Physics 2023-11-08 Robert S. Hoy

The prevalence of heterogeneous nucleation in nature was explained qualitatively by the classical theory for heterogeneous nucleation established over more than 60 years ago, but the quantitative validity and the key conclusions of the…

Chemical Physics · Physics 2015-06-11 Raffaela Cabriolu , Tianshu Li

Molecular dynamics simulation is used to study the time-scales involved in the homogeneous melting of a superheated crystal. The interaction model used is an embedded-atom model for Fe developed in previous work, and the melting process is…

Statistical Mechanics · Physics 2015-05-27 D. Alfè , C. Cazorla , M. J. Gillan

Nucleation phenomena commonly observed in our every day life are of fundamental, technological and societal importance in many areas, but some of their most intimate mechanisms remain however to be unraveled. Crystal nucleation, the early…

Materials Science · Physics 2022-02-09 Sébastien Becker , Emilie Devijver , Rémi Molinier , Noël Jakse

A widely spread method of crystal preparation is to precipitate it from a supersaturated solution. In such a process, control of solution concentration is of paramount importance. Nucleation process, polymorph selection, and crystal habits…

Soft Condensed Matter · Physics 2019-07-10 Tarak Karmakar , Pablo M. Piaggi , Michele Parrinello

In simulations of supercooled, high-density liquid silica we study a range of temperature T in which we find both crystal nucleation, as well as the characteristic dynamics of a glass forming liquid, including a breakdown of the…

Materials Science · Physics 2015-05-14 Ivan Saika-Voivod , Richard K. Bowles , Peter H. Poole

We present a simple unifying model for crystallization and melting temperatures by showing that homogeneous nucleation and phase transformations driven by thickening of pre-existing surface layers are limiting conditions of the more general…

Materials Science · Physics 2009-11-13 Sharon Cooper , Catherine Nicholson , Jian Liu

The formation of clusters in supercooled liquids close to the glass transition temperature is described by rate equations in which the coefficients are determined on physical grounds rather than in terms of thermodynamic quantities such as…

Disordered Systems and Neural Networks · Physics 2007-05-23 V. Halpern