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  EPR Spectroscopy of Cu(II) Complexes: Prediction of g-Tensors Using Double-Hybrid Density Functional Theory

Drosou, M., Mitsopoulou, C. A., Orio, M., & Pantazis, D. A. (2022). EPR Spectroscopy of Cu(II) Complexes: Prediction of g-Tensors Using Double-Hybrid Density Functional Theory. Magnetochemistry, 8(4):. doi:10.3390/magnetochemistry8040036.

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アイテムのパーマリンク: https://hdl.handle.net/21.11116/0000-000A-7141-D 版のパーマリンク: https://hdl.handle.net/21.11116/0000-000A-7142-C
資料種別: 学術論文

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 作成者:
Drosou, Maria1, 著者
Mitsopoulou, Christiana A.1, 著者
Orio, Maylis2, 著者
Pantazis, Dimitrios A.3, 著者           
所属:
1Inorganic Chemistry Laboratory, National and Kapodistrian University of Athens, Panepistimiopolis, 15771 Zografou, Greece, ou_persistent22              
2CNRS, Aix-Marseille Université, Centrale Marseille, iSm2, 13013 Marseille, France, ou_persistent22              
3Research Group Pantazis, Max-Planck-Institut für Kohlenforschung, Max Planck Society, ou_2541711              

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キーワード: copper; g-tensors; density functional theory; double-hybrid functionals; theoretical spectroscopy
 要旨: Computational electron paramagnetic resonance (EPR) spectroscopy is an important field of applied quantum chemistry that contributes greatly to connecting spectroscopic observations with the fundamental description of electronic structure for open-shell molecules. However, not all EPR parameters can be predicted accurately and reliably for all chemical systems. Among transition metal ions, Cu(II) centers in inorganic chemistry and biology, and their associated EPR properties such as hyperfine coupling and g-tensors, pose exceptional difficulties for all levels of quantum chemistry. In the present work, we approach the problem of Cu(II) g-tensor calculations using double-hybrid density functional theory (DHDFT). Using a reference set of 18 structurally and spectroscopically characterized Cu(II) complexes, we evaluate a wide range of modern double-hybrid density functionals (DHDFs) that have not been applied previously to this problem. Our results suggest that the current generation of DHDFs consistently and systematically outperform other computational approaches. The B2GP-PLYP and PBE0-DH functionals are singled out as the best DHDFs on average for the prediction of Cu(II) g-tensors. The performance of the different functionals is discussed and suggestions are made for practical applications and future methodological developments.

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言語: eng - English
 日付: 2022-02-192022-03-192022-03-23
 出版の状態: オンラインで出版済み
 ページ: -
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): DOI: 10.3390/magnetochemistry8040036
 学位: -

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出版物 1

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出版物名: Magnetochemistry
  省略形 : Magnetochemistry
種別: 学術雑誌
 著者・編者:
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出版社, 出版地: Basel, Switzerland : MDPI AG
ページ: - 巻号: 8 (4) 通巻号: 36 開始・終了ページ: - 識別子(ISBN, ISSN, DOIなど): CoNE: https://pure.mpg.de/cone/journals/resource/2312-7481