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|a 10.1002/jcc.27279
|2 doi
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|a eng
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|a Kirschbaum, Thorren
|e verfasserin
|4 aut
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|a Ground and excited state charge transfer at aqueous nanodiamonds
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|c 2024
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|a Text
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|a ƒaComputermedien
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|a Date Revised 15.03.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2023 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC.
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|a Nanodiamonds (NDs) are unique carbonaceous materials with exceptionally high stability, hardness, and notable electronic properties. Their applications in photocatalysis, biomedicine, and energy materials are usually carried out in aqueous environments, where they interact with aqueous adsorbates. Especially, electron density may rearrange from the diamond material toward oxidative adsorbates such as oxygen, which is known as charge transfer doping. In this article, we quantify the charge transfer doping for NDs with inhomogeneous surface coverings (hydroxyl, fluorine, and amorphous carbon), as well as NDs doped with heteroatoms (B, Si, N) using hybrid density functional theory (DFT) calculations. The transfer doping magnitude is largely determined by the NDs' highest occupied molecular orbital energies, which can in turn be modified by the surface covering and doping. However, local modifications of the ND structures do not have any local effects on the magnitude of the charge transfer. We furthermore analyze the impact of aqueous adsorbates on the excited states of an aqueous ND in the context of photocatalysis via time-dependent DFT. Here, we find that the excited electrons are biased to move in the direction of the respective oxidative adsorbate. Surprisingly, we find that also unreactive species such as nitrous oxide may attract the excited electrons, which is probably due to the positive partial charge that is induced by the local N 2 O solvation geometry
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|a Journal Article
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|a DFT
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|a excited states
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|a molecular modeling
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|a nanodiamonds
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|a transfer doping
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|a Wang, Xiangfei
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bande, Annika
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 45(2024), 11 vom: 30. Apr., Seite 710-718
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnas
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| 773 |
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|g volume:45
|g year:2024
|g number:11
|g day:30
|g month:04
|g pages:710-718
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|u http://dx.doi.org/10.1002/jcc.27279
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