Structure and surface energy of Au55 nanoparticles: An ab initio study
Research output: Contribution to journal › Article › Research › peer-review
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Structure and surface energy of Au55 nanoparticles: An ab initio study. / Holec, David; Fischer, Franz-Dieter; Vollath, Dieter.
In: Computational materials science, Vol. 134.2017, No. 15 June, 06.04.2017, p. 137-144.
In: Computational materials science, Vol. 134.2017, No. 15 June, 06.04.2017, p. 137-144.
Research output: Contribution to journal › Article › Research › peer-review
Harvard
Holec, D, Fischer, F-D & Vollath, D 2017, 'Structure and surface energy of Au55 nanoparticles: An ab initio study', Computational materials science, vol. 134.2017, no. 15 June, pp. 137-144. https://doi.org/10.1016/j.commatsci.2017.03.038
APA
Holec, D., Fischer, F.-D., & Vollath, D. (2017). Structure and surface energy of Au55 nanoparticles: An ab initio study. Computational materials science, 134.2017(15 June), 137-144. Advance online publication. https://doi.org/10.1016/j.commatsci.2017.03.038
Vancouver
Holec D, Fischer FD, Vollath D. Structure and surface energy of Au55 nanoparticles: An ab initio study. Computational materials science. 2017 Apr 6;134.2017(15 June):137-144. Epub 2017 Apr 6. doi: 10.1016/j.commatsci.2017.03.038
Author
Bibtex - Download
@article{97b10a29ec8748bea263bd0caa97b6e4,
title = "Structure and surface energy of Au55 nanoparticles: An ab initio study",
author = "David Holec and Franz-Dieter Fischer and Dieter Vollath",
year = "2017",
month = apr,
day = "6",
doi = "10.1016/j.commatsci.2017.03.038",
language = "English",
volume = "134.2017",
pages = "137--144",
journal = "Computational materials science",
issn = "0927-0256",
publisher = "Elsevier",
number = "15 June",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Structure and surface energy of Au55 nanoparticles
T2 - An ab initio study
AU - Holec, David
AU - Fischer, Franz-Dieter
AU - Vollath, Dieter
PY - 2017/4/6
Y1 - 2017/4/6
U2 - 10.1016/j.commatsci.2017.03.038
DO - 10.1016/j.commatsci.2017.03.038
M3 - Article
VL - 134.2017
SP - 137
EP - 144
JO - Computational materials science
JF - Computational materials science
SN - 0927-0256
IS - 15 June
ER -
