AVS 64th International Symposium & Exhibition
    Sustainability Focus Topic Wednesday Sessions
       Session SU+AS+EM+MS-WeM

Invited Paper SU+AS+EM+MS-WeM12
Critical Current by Design

Wednesday, November 1, 2017, 11:40 am, Room 5 & 6

Session: Piezoelectrics, Thermoelectrics, and Superconductors
Presenter: George Crabtree, Argonne National Laboratory
Authors: G.W. Crabtree, Argonne National Laboratory
U. Welp, Argonne National Laboratory
K. Kihlstrom, University of Illinois at Chicago
A. Koshelev, Argonne National Laboratory
A. Glatz, Northern Illinois University
I. Sadovskyy, Argonne National Laboratory
W.K. Kwok, Argonne National Laboratory
Correspondent: Click to Email

We introduce a new approach for rational design of superconducting critical currents, using time-dependent Ginzburg-Landau simulation to predict the critical current produced by an arbitrary mixed pinning landscape. Time dependent Ginzburg-Landau simulations automatically take into account vortex flexibility, the variation of coherence length with temperature and field, the mutual interaction of vortices and the interaction of vortices and defects. Core pinning by an arbitrary mixed pinning landscape is included by lowering the superconducting condensation energy at points, along lines and within finite nanoscale regions corresponding to specific pinning defects. We show results for several real-world cases that verify predictive ability, outline a program for unfolding the interaction of multiple pinning defects and for maximizing the critical current in targeted temperature and field ranges

Vortices in High Performance High Temperature Superconductors, W. K. Kwok et al., Reports on Progress in Physics. 79, 116501 (2016)

Toward Superconducting Critical Current by Design, Ivan A. Sadovskyy et al, Advanced Materials 28(23), 4593-4600 (2016)

This work was supported by the U.S. Department of Energy (DOE), Office of Basic Energy Sciences, as part of the Center for Emergent Superconductivity Energy Frontier Research Center and by the Scientific Discovery through Advanced Computing (SciDAC) program funded by U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research and Basic Energy Science.