Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-26T17:22:15.620Z Has data issue: false hasContentIssue false

Multiscale vacancy and dislocation-mediated surface segregation in CuNi alloy up to microsecond timescales with accelerated dynamics

Published online by Cambridge University Press:  30 July 2021

Richard Garza
Affiliation:
University of Pittsburgh, United States
Jiyoung Lee
Affiliation:
University of Texas, United States
Mai Nguyen
Affiliation:
University of Texas, United States
Andrew Garmon
Affiliation:
Clemson University, United States
Meng Li
Affiliation:
University of Pittsburgh, Pittsburgh, Pennsylvania, United States
Danny Perez
Affiliation:
Los Alamos National Laboratory, United States
Graeme Henkelman
Affiliation:
University of Texas, United States
Judith Yang
Affiliation:
University of Pittsburgh, United States
Wissam Saidi
Affiliation:
University of Pittsburgh, United States

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Investigating Phase Transitions in Functional Materials and Devices by In Situ/Operando TEM
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Good, B., Bozzolo, G., Ferrante, J., Surface segregation in Cu-Ni alloys, Physical Review B 48(24) (1993) 18284-18287.CrossRefGoogle ScholarPubMed
Guisbiers, G., Khanal, S., Ruiz-Zepeda, F., d.l. Puente, J.R., José-Yacaman, M., Cu–Ni nano-alloy: mixed, core–shell or Janus nano-particle?, Nanoscale 6(24) (2014) 14630-14635.CrossRefGoogle ScholarPubMed
Fischer, F., Schmitz, G., Eich, S.M., A systematic study of grain boundary segregation and grain boundary formation energy using a new copper–nickel embedded-atom potential, Acta Materialia 176 (2019) 220-231.Google Scholar
Xu, L., Henkelman, G., Adaptive kinetic Monte Carlo for first-principles accelerated dynamics, J. Chem. Phys. 129(11) (2008) 114104.Google ScholarPubMed
Perez, D., Cubuk, E.D., Waterland, A., Kaxiras, E., Voter, A.F., Long-Time Dynamics through Parallel Trajectory Splicing, J. Chem. Theory Comput. 12(1) (2016) 18-28.CrossRefGoogle ScholarPubMed
The authors acknowledge funding from National Science Foundation (NSF) grants DMR-1809085 and CMMI-1905647 and resources from the University of Pittsburgh Center for Research Computing (CRC).Google Scholar