In silico optimization of critical currents in superconductors

In silico optimization of critical currents in superconductors For many technological applications of superconductors the performance of a material is determined by the highest current it can carry losslessly—the critical current. In turn, the critical current can be controlled by adding nonsuperconducting defects in the superconductor matrix. Here we report on systematic comparison of different local and global optimization strategies to predict optimal structures of pinning centers leading to the highest possible critical currents. We demonstrate performance of these methods for a superconductor with randomly placed spherical, elliptical, and columnar defects. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Physical Review E American Physical Society (APS)

In silico optimization of critical currents in superconductors

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In silico optimization of critical currents in superconductors

Abstract

For many technological applications of superconductors the performance of a material is determined by the highest current it can carry losslessly—the critical current. In turn, the critical current can be controlled by adding nonsuperconducting defects in the superconductor matrix. Here we report on systematic comparison of different local and global optimization strategies to predict optimal structures of pinning centers leading to the highest possible critical currents. We demonstrate performance of these methods for a superconductor with randomly placed spherical, elliptical, and columnar defects.
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Publisher
The American Physical Society
Copyright
Copyright © ©2017 American Physical Society
ISSN
1539-3755
eISSN
550-2376
D.O.I.
10.1103/PhysRevE.96.013318
Publisher site
See Article on Publisher Site

Abstract

For many technological applications of superconductors the performance of a material is determined by the highest current it can carry losslessly—the critical current. In turn, the critical current can be controlled by adding nonsuperconducting defects in the superconductor matrix. Here we report on systematic comparison of different local and global optimization strategies to predict optimal structures of pinning centers leading to the highest possible critical currents. We demonstrate performance of these methods for a superconductor with randomly placed spherical, elliptical, and columnar defects.

Journal

Physical Review EAmerican Physical Society (APS)

Published: Jul 27, 2017

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