Hauptseite > Publikationsdatenbank > Momentum-selective orbital hybridisation > print

001     909498
005     20230303091635.0
024 7 _ |a 10.1038/s41467-022-32643-z
|2 doi
024 7 _ |a 2128/31776
|2 Handle
024 7 _ |a 36055995
|2 pmid
024 7 _ |a WOS:000849365000007
|2 WOS
037 _ _ |a FZJ-2022-03204
082 _ _ |a 500
100 1 _ |a Yang, Xiaosheng
|0 P:(DE-Juel1)165181
|b 0
245 _ _ |a Momentum-selective orbital hybridisation
260 _ _ |a [London]
|c 2022
|b Nature Publishing Group UK
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1670311502_6446
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a When a molecule interacts chemically with a metal surface, the orbitals of the molecule hybridise with metal states to form the new eigenstates of the coupled system. Spatial overlap and energy matching are determining parameters of the hybridisation. However, since every molecular orbital does not only have a characteristic spatial shape, but also a specific momentum distribution, one may additionally expect a momentum matching condition; after all, each hybridising wave function of the metal has a defined wave vector, too. Here, we report photoemission orbital tomography measurements of hybrid orbitals that emerge from molecular orbitals at a molecule-on-metal interface. We find that in the hybrid orbitals only those partial waves of the original orbital survive which match the metal band structure. Moreover, we find that the conversion of the metal’s surface state into a hybrid interface state is also governed by momentum matching constraints. Our experiments demonstrate the possibility to measure hybridisation momentum-selectively, thereby enabling deep insights into the complicated interplay of bulk states, surface states, and molecular orbitals in the formation of the electronic interface structure at molecule-on-metal hybrid interfaces.
536 _ _ |a 5213 - Quantum Nanoscience (POF4-521)
|0 G:(DE-HGF)POF4-5213
|c POF4-521
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Jugovac, Matteo
|0 P:(DE-Juel1)169309
|b 1
700 1 _ |a Zamborlini, Giovanni
|0 P:(DE-Juel1)162281
|b 2
700 1 _ |a Feyer, Vitaliy
|0 P:(DE-Juel1)145012
|b 3
700 1 _ |a Koller, Georg
|0 0000-0001-7741-2394
|b 4
700 1 _ |a Puschnig, Peter
|0 0000-0002-8057-7795
|b 5
700 1 _ |a Soubatch, Serguei
|0 P:(DE-Juel1)128790
|b 6
700 1 _ |a Ramsey, Michael G.
|0 0000-0003-0523-1994
|b 7
700 1 _ |a Tautz, F. Stefan
|0 P:(DE-Juel1)128791
|b 8
|e Corresponding author
773 _ _ |a 10.1038/s41467-022-32643-z
|g Vol. 13, no. 1, p. 5148
|0 PERI:(DE-600)2553671-0
|n 1
|p 5148
|t Nature Communications
|v 13
|y 2022
|x 2041-1723
856 4 _ |u https://juser.fz-juelich.de/record/909498/files/1200186598_MPDL_Rechnung.pdf
856 4 _ |u https://juser.fz-juelich.de/record/909498/files/s41467-022-32643-z.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:909498
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)165181
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)145012
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)128790
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 8
|6 P:(DE-Juel1)128791
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-521
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Quantum Materials
|9 G:(DE-HGF)POF4-5213
|x 0
914 1 _ |y 2022
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2021-02-02
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-02-02
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2021-02-02
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-02-02
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-02-02
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NAT COMMUN : 2021
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2021-10-13T14:44:21Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2021-10-13T14:44:21Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2021-10-13T14:44:21Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2022-11-11
915 _ _ |a IF >= 15
|0 StatID:(DE-HGF)9915
|2 StatID
|b NAT COMMUN : 2021
|d 2022-11-11
915 p c |a Local Funding
|2 APC
|0 PC:(DE-HGF)0001
915 p c |a DFG OA Publikationskosten
|2 APC
|0 PC:(DE-HGF)0002
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)PGI-3-20110106
|k PGI-3
|l Quantum Nanoscience
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)PGI-3-20110106
980 _ _ |a APC
980 _ _ |a UNRESTRICTED
980 1 _ |a APC
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21