activity
20182021
most citedUnusual crystallization behavior close to the glass transition

44 citations · 89 across the 4 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci202133 cited

Can Ordered Precursors Promote the Nucleation of Solid Solutions?

Caroline Desgranges, Jerome Delhommelle

Crystallization often proceeds through successive stages that lead to a gradual increase in organization. Using molecular simulation, we determine the nucleation pathway for solid…

cond-mat.mtrl-sci202144 cited

Unusual crystallization behavior close to the glass transition

Caroline Desgranges, Jerome Delhommelle

Using molecular simulations, we shed light on the mechanism underlying crystal nucleation in metal alloys and unravel the interplay between crystal nucleation and glass transition,…

cond-mat.stat-mech20206 cited

The central role of entropy in adiabatic ensembles and its application to phase transitions in the grand-isobaric adiabatic ensemble

Caroline Desgranges, Jerome Delhommelle

Entropy has become increasingly central to characterize, understand and even guide assembly, self-organization and phase transition processes. In this work, we build on the analogo…

cond-mat.soft20206 cited

Unraveling liquid polymorphism in silicon driven out-of-equilibrium

Caroline Desgranges, Jerome Delhommelle

Using nonequilibrium molecular dynamics (NEMD) simulations, we study the properties of supercooled liquids of Si under shear at T=1060K over a range of densities encompassing the l…

cond-mat.soft2018

Stabilization of nanobubbles under hydrophobic confinement

Caroline Desgranges, Jerome Delhommelle

It has been recently shown that nanobubbles exhibit a remarkable and unexpected stability. The lifetime of nanobubbles, formed either within liquids or on hydrophobic surfaces, can…

physics.comp-ph2018

Crystal nucleation along an entropic pathway: Teaching liquids how to transition

Caroline Desgranges, Jerome Delhommelle

We combine machine learning (ML) with Monte Carlo (MC) simulations to study the crystal nucleation process. Using ML, we evaluate the canonical partition function of the system ove…