Nanoscale mapping of the electron density at Al grain boundaries and correlation with grain-boundary energy

Proloy Nandi, Xiahan Sang, Eric R. Hoglund, Raymond R. Unocic, Dmitri A. Molodov, James M. Howe

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Grain-boundary (GB) structures and energies are often calculated and have revealed correlations between the GB energy and change in electron density at the GB. In this work, the plasmon peak in valence electron energy-loss spectroscopy (VEELS) was used to determine the variation in electron density across four well-characterized GBs in Al, spanning a range of known GB energies. The results show that the plasmon energy is lower at the GB than in the adjacent grains due to a decrease in electron density, and the GB energy increases proportional to the density decrease. The decrease in electron density also extends further into adjacent grains with increasing GB energy, extending beyond the geometric changes, or physical width, revealed by electron microscopy. Plasmon damping also increases with increasing GB energy, indicative of increasing disruption of the electron density with increasing GB energy. These results demonstrate that VEELS can be a valuable tool for detecting small electron density changes at GBs, and this change clearly influences, and is correlated to, the GB energy.

Original languageEnglish
Article number053805
JournalPhysical Review Materials
Volume3
Issue number5
DOIs
StatePublished - May 16 2019

Funding

J.M.H., P.N., and E.R.H. are grateful for funding under NSF Grant No. DMR-1106230 and the VPR Office at UVA. The authors thank Dr. Eric Stach and Dr. Dong Su for help with research conducted in part at CFN-BNL supported by the U.S. DOE-BES under Contract No. DE-SC-00112704, and acknowledge research supported as part of a user proposal at ORNL-CNMS, which is a U.S. DOE Office of Science User Facility (X.S. and R.R.U.). J.M.H., P.N., and E.R.H. are grateful for funding under NSF Grant No. DMR-1106230 and the VPR Office at UVA. The authors thank Dr. Eric Stach and Dr. Dong Su for help with research conducted in part at CFN-BNL supported by the U.S. DOE-BES under Contract No. DE-SC-00112704, and acknowledge research supported as part of a user proposal at ORNL-CNMS, which is a U.S. DOE Office of Science User Facility (X.S. and R.R.U.).

FundersFunder number
U.S. DOE-BES
National Science FoundationDMR-1106230
U.S. Department of EnergyDE-SC-00112704
Office of Science
Norsk Sykepleierforbund
Universidad de Valladolid

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