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Dr. Hossam Elgabarty
- E-Mail:
- hossam.elgabarty@uni-paderborn.de
- Telefon:
- +49 5251 60-5787
- ORCID:
- 0000-0002-4945-1481
- Web:
- Homepage
- Büroanschrift:
-
365体育_足球比分网¥投注直播官网 Str. 100
33098 Paderborn - Raum:
- NW1.726
Publikationen
Aktuelle Publikationen
Isostructural Series of a Cyclometalated Iron Complex in Three Oxidation States
J. Steube, L. Fritsch, A. Kruse, O.S. Bokareva, S. Demeshko, H. Elgabarty, R. Schoch, M. Alaraby, H. Egold, B. Bracht, L. Schmitz, S. Hohloch, T.D. Kühne, F. Meyer, O. Kühn, S. Lochbrunner, M. Bauer, Inorganic Chemistry (2024).
Ultrafast Two‐Color X‐Ray Emission Spectroscopy Reveals Excited State Landscape in a Base Metal Dyad
M. Nowakowski, M. Huber‐Gedert, H. Elgabarty, A. Kalinko, J. Kubicki, A. Kertmen, N. Lindner, D. Khakhulin, F.A. Lima, T. Choi, M. Biednov, L. Schmitz, N. Piergies, P. Zalden, K. Kubicek, A. Rodriguez‐Fernandez, M.A. Salem, S.E. Canton, C. Bressler, T.D. Kühne, W. Gawelda, M. Bauer, Advanced Science (2024).
Understanding Hydration in CPO‐27 Metal‐Organic Frameworks: Strong Impact of the Chemical Nature of the Metal (Cu, Zn)
M. Klo?, M. Beerbaum, D. Baier, C. Weinberger, F. Zysk, H. Elgabarty, T.D. Kühne, M. Tiemann, Advanced Materials Interfaces 11 (2024) 2400476.
Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics
R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023).
Ultrafast two-colour X-ray emission spectroscopy reveals excited state landscape in a base metal dyad
M. Nowakowski, M. Huber-Gedert, H. Elgabarty, J. Kubicki, A. Kertem, N. Lindner, D. Khakhulin, F.A. Lima, T.-K. Choi, M. Biednov, N. Piergies, P. Zalden, K. Kubicek, A. Rodriguez-Fernandez, M.A. Salem, T. Kühne, W. Gawelda, M. Bauer, Arxiv (2023).
Alle Publikationen anzeigen
Lehre
Laufende Lehrveranstaltungen
- Wissenschaftliche Praxis
- Statistische Messdatenanalyse
- Quantum Mechanics in Materials Science
- Computerchemie
- Atomistic Dynamics of Materials
- Artificial Intelligence in Materials Science