| dc.contributor.author | Nitzbon, J. | |
| dc.contributor.author | Schultz, P. | |
| dc.contributor.author | Heitzig, J. | |
| dc.contributor.author | Kurths, J. | |
| dc.contributor.author | Hellmann, F. | |
| dc.date.accessioned | 2017-06-07T16:00:27Z | |
| dc.date.available | 2017-06-07T16:00:27Z | |
| dc.date.issued | 2017-03-16 | |
| dc.identifier.citation | Nitzbon , J , Schultz , P , Heitzig , J , Kurths , J & Hellmann , F 2017 , ' Deciphering the imprint of topology on nonlinear dynamical network stability ' , New Journal of Physics , vol. 19 , 033029 , pp. 1-15 . https://doi.org/10.1088/1367-2630/aa6321 | en |
| dc.identifier.issn | 1367-2630 | |
| dc.identifier.other | PURE: 101123447 | |
| dc.identifier.other | PURE UUID: d976e048-13ba-4d5f-91f3-66239c38406a | |
| dc.identifier.other | ArXiv: http://arxiv.org/abs/1612.03654v1 | |
| dc.identifier.other | Scopus: 85015805345 | |
| dc.identifier.uri | http://hdl.handle.net/2164/8770 | |
| dc.description | Acknowledgments The authors gratefully acknowledge the support of BMBF, CoNDyNet, FK. 03SF0472A. The authors gratefully acknowledge the European Regional Development Fund (ERDF), the German Federal Ministry of Education and Research and the Land Brandenburg for supporting this project by providing resources on the high performance computer system at the Potsdam Institute for Climate Impact Research. The publication of this article was funded by the Open Access Fund of the Leibniz Association. We further thank Peng Ji for helpful discussions regarding the interpretation of the results. | en |
| dc.format.extent | 15 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | New Journal of Physics | en |
| dc.rights | Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. https://creativecommons.org/licenses/by/3.0/ | en |
| dc.subject | coupled ocscillator networks | en |
| dc.subject | network stability | en |
| dc.subject | network topology | en |
| dc.subject | power grids | en |
| dc.subject | basin stability | en |
| dc.subject | survivability | en |
| dc.subject | second-order Kuramoto model | en |
| dc.subject | QC Physics | en |
| dc.subject.lcc | QC | en |
| dc.title | Deciphering the imprint of topology on nonlinear dynamical network stability | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Physics | en |
| dc.contributor.institution | University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB) | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Publisher PDF | en |
| dc.identifier.doi | https://doi.org/10.1088/1367-2630/aa6321 | |
| dc.identifier.vol | 19 | en |
