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| Content Provider | Springer Nature Link |
|---|---|
| Author | Hirva, Pipsa Haukka, Matti Jakonen, Minna More, M. Andreina |
| Copyright Year | 2007 |
| Abstract | The applicability of several popular density functionals in predicting the geometrical parameters and energetics of transition metal carbonyl complexes of iron, ruthenium and osmium has been studied. The methods tested include pure GGA functionals (BLYP, BP86, OPBE, HCTH, PBE, VSXC) and hybrid GGA functionals (B3PW91, B3LYP, PBE1PBE, MPW1K, B97-2, B1B95, PBE1KCIS). The effect of changing the metal basis set from Huzinaga’s all-electron basis to SDD scECP basis was also studied. The results show, that hybrid functionals are needed in order to describe the back-bonding ability of the carbonyl ligands as well as to deal with metal-metal bonds. The best general performance, when also the computational cost was considered, was obtained with hybrid functionals B3PW91 and PBE1PBE, which therefore provide an efficient tool for solving problems involving large or medium sized transition metal carbonyl compounds. Figure Optimized structure for one of the test molecules, the Ru3(CO)12 cluster, showing the staggered conformation of the carbonyl ligands |
| Starting Page | 171 |
| Ending Page | 181 |
| Page Count | 11 |
| File Format | |
| ISSN | 16102940 |
| Journal | Journal of Molecular Modeling |
| Volume Number | 14 |
| Issue Number | 3 |
| e-ISSN | 09485023 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2008-01-05 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Density functional calculations Iron Osmium Ruthenium Transition metals Computer Application in Life Sciences Life Sciences Health Informatics Molecular Medicine Biomedicine general Computer Applications in Chemistry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Organic Chemistry Physical and Theoretical Chemistry Computational Theory and Mathematics Catalysis Inorganic Chemistry Computer Science Applications |
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