Detecting electron-phonon coupling during photoinduced phase transition

This record contains the data supporting our recent findings on electron-phonon coupling during photoinduced phase transition. We measure mode- and band-selective electron-phonon couplings during the photoinduced insulator-to-metal phase transition in Ta2NiSe5 (TNS) by frequency-domain angle-resolved photoemission spectroscopy (FDARPES). FDARPES gives us rich information about which band more couples which phonon mode by seeing frequency components of time-resolved angle-resolved photoemission spectra. The experiments indicate 2 THz and 3 THz phonon modes associated with the metallic and semiconducting phases. To get a more atomistic picture of the oscillation, we perform phonon-mode calculations relying on the density-functional theory (DFT).

The computational scheme itself is very standard that density-functional-perturbation theory (DFPT) with semilocal or local exchange-correlation functionals. However, the required computational resources were rather huge, 25,000 core-hour, for a single DFPT with atomic position optimization having 0.1 eV/nm force accuracy for more satisfactory computational parameters. Therefore, the data must be worth as a benchmark within DFT-level calculation for TNS.

Identifier
Source https://archive.materialscloud.org/record/2021.49
Metadata Access https://archive.materialscloud.org/xml?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:materialscloud.org:793
Provenance
Creator Suzuki, Takeshi; Shinohara, Yasushi; Lu, Yangfan; Watanabe, Mari; Xu, Jiadi; L. Ishikawa, Kenichi; Takagi, Hide; Nohara, Minoru; Katayama, Naoyuki; Sawa, Hiroshi; Fujisawa, Masami; Kanai, Teruto; Itatani, Jiro; Mizokawa, Takashi; Shin, Shik; Okazaki, Kozo
Publisher Materials Cloud
Publication Year 2021
Rights info:eu-repo/semantics/openAccess; Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact archive(at)materialscloud.org
Representation
Language English
Resource Type Dataset
Discipline Materials Science and Engineering