Optimizing superconductor transport properties through large-scale simulation

The SciDAC partnership Optimizing superconductor transport properties through large-scale simulation (OSCon) was established in September 2012. The main objective of this project is to develop and apply novel methods for optimizing superconductors for energy applications using large-scale computational algorithms and tools. The resulting numerical tools will pave the way for a systematic method to design superconductors with high critical currents. So far the quest for optimal superconductors with respect to largest critical current was only conducted via the Edisonian process of laborious experimental trial and error. The overall project is carried out in collaboration with SciDAC Institutes using large-scale computation and leveraging DOE’s leadership-class computing facilities.

Magnitude of the order parameter for a 2D system at different magnetic fields.
Magnitude of the order parameter for a 2D system — lager magnetic field.
Iso-surface plot of the magnitude of the order parameter for a 3D system — lager magnetic field.
Iso-surface plot of the magnitude of the order parameter for a 3D system — even lager magnetic field.
Iso-surface plot of the magnitude of the order parameter for a 3D system on an unstructured grid.

OSCon is a joint effort of Argonne’s Materials Science Division (MSD) and the Mathematics and Computer Science Division (MCS).


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