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Title: Targeted evolution of pinning landscapes for large superconducting critical currents

Abstract

The ability of type II superconductors to carry large amounts of current at high magnetic fields is a key requirement for future design innovations in high-field magnets for accelerators and compact fusion reactors, and largely depends on the vortex pinning landscape comprised of material defects. The complex interaction of vortices with defects that can be grown chemically, e.g., self-assembled nanoparticles and nanorods, or introduced by postsynthesis particle irradiation precludes a priori prediction of the critical current and can result in highly nontrivial effects on the critical current. Here, we borrow concepts from biological evolution to create a vortex pinning genome based on a genetic algorithm, naturally evolving the pinning landscape to accommodate vortex pinning and determine the best possible configuration of inclusions for two different scenarios: a natural evolution process initiating from a pristine system and one starting with preexisting defects to demonstrate the potential for a postprocessing approach to enhance critical currents. Furthermore, the presented approach is even more general and can be adapted to address various other targeted material optimization problems.

Authors:
; ; ; ; ORCiD logo
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1505851
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Published Article
Journal Name:
Proceedings of the National Academy of Sciences of the United States of America
Additional Journal Information:
Journal Name: Proceedings of the National Academy of Sciences of the United States of America; Journal ID: ISSN 0027-8424
Publisher:
Proceedings of the National Academy of Sciences
Country of Publication:
United States
Language:
English

Citation Formats

Sadovskyy, Ivan A., Koshelev, Alexei E., Kwok, Wai-Kwong, Welp, Ulrich, and Glatz, Andreas. Targeted evolution of pinning landscapes for large superconducting critical currents. United States: N. p., 2019. Web. doi:10.1073/pnas.1817417116.
Sadovskyy, Ivan A., Koshelev, Alexei E., Kwok, Wai-Kwong, Welp, Ulrich, & Glatz, Andreas. Targeted evolution of pinning landscapes for large superconducting critical currents. United States. doi:10.1073/pnas.1817417116.
Sadovskyy, Ivan A., Koshelev, Alexei E., Kwok, Wai-Kwong, Welp, Ulrich, and Glatz, Andreas. Mon . "Targeted evolution of pinning landscapes for large superconducting critical currents". United States. doi:10.1073/pnas.1817417116.
@article{osti_1505851,
title = {Targeted evolution of pinning landscapes for large superconducting critical currents},
author = {Sadovskyy, Ivan A. and Koshelev, Alexei E. and Kwok, Wai-Kwong and Welp, Ulrich and Glatz, Andreas},
abstractNote = {The ability of type II superconductors to carry large amounts of current at high magnetic fields is a key requirement for future design innovations in high-field magnets for accelerators and compact fusion reactors, and largely depends on the vortex pinning landscape comprised of material defects. The complex interaction of vortices with defects that can be grown chemically, e.g., self-assembled nanoparticles and nanorods, or introduced by postsynthesis particle irradiation precludes a priori prediction of the critical current and can result in highly nontrivial effects on the critical current. Here, we borrow concepts from biological evolution to create a vortex pinning genome based on a genetic algorithm, naturally evolving the pinning landscape to accommodate vortex pinning and determine the best possible configuration of inclusions for two different scenarios: a natural evolution process initiating from a pristine system and one starting with preexisting defects to demonstrate the potential for a postprocessing approach to enhance critical currents. Furthermore, the presented approach is even more general and can be adapted to address various other targeted material optimization problems.},
doi = {10.1073/pnas.1817417116},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
issn = {0027-8424},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {4}
}

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Works referenced in this record:

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