DescriptionGlass-forming liquids exhibit dramatical slowdown upon cooling, which may be controlled by the growing amorphous order that emerges due to the rarefaction of metastable states in the rugged free-energy landscape. The amorphous order is well captured by point-to-set correlations, and their measurements are indispensable in testing ideas surrounding this new order parameter. To attain good statistics on point-to-set observables, however, requires a huge number of independent simulations. Exploration of many parameter ranges -- such as temperature or confinement parameters -- further increases the need for parallel computing. The high throughout computing thus provides an ideal tool for investigating the notion of the growing amorphous order in glassy systems.
OrganizationDuke University
Sponsor Campus GridOSG Connect
Principal Investigator
Patrick Charbonneau
Field Of ScienceChemistry