Buchhorn, Moritz (2024)
Unbiased Angular Overlap Model parameters from ab initio calculations.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00026712
Dissertation, Erstveröffentlichung, Verlagsversion
Kurzbeschreibung (Abstract)
In this work, molecular transition metal complexes are investigated with a quantum chemicalmulticonfigurational method in conjunction with ligand field theory (LFT). Ligand field theory is an established tool to parameterize electronic and magnetic properties of transition metal complexes. The parameterization used is the angular overlap model (AOM), which parameterizes the ligand field locally, i.e. each parameter set refers to a specific metal-ligand pair. The advantage of the AOM compared with other ligand field schemes is thus the possibility to assess the effect of particular ligands in a complex instead of relying on global parameters that can only describe whole complexes. The downside of this approach is the high number of parameters, often leading to underdetermined problems that make an AOM fit difficult. Common approaches to solve this issue are artificial relationships and assumptions that introduce biased parameters. In this work, complete active space (CAS) calculations and the ab initio ligand field theory routine implemented in the ORCA quantum chemistry software are used to calculate electronic state energies that are necessary to fit AOM parameters. The calculated data is equivalent to the information obtained by spectroscopic methods that yield the energy difference of excited states, e.g. UV-Vis spectroscopy. The use of computational methods comes with an array of advantages compared to spectroscopic measurements, most importantly the unambiguous assignment of states and the possibility to investigate structural snapshots instead of thermally averaged structures. These properties can be used to create structural samples of low symmetry, which have fewer degenerate electronic states and therefore permit AOM parameterizations that are impossible when only considering experimental data. By this, it is not necessary anymore to avoid AOM underdetermination by fixing parameters or introducing relational rules. It is thus an approach to remove bias and obtain more objective parameter sets. The asymmetric structure sample approach is shown to reproduce known trends reliably, so it can be used to fill data gaps in series, for which experimental data is difficult to obtain or interpret. It is also shown that the unbiased parameterization of ammonia ligands yields a significant π interaction, which is in contrast to common approximations in the AOM parameterization. The proof of concept works are supported by a software that performs the asymmetric structure sampling and the AOM parameterization. This software is also presented in this work and its development versions were used for all computational investigations performed here.
Typ des Eintrags: | Dissertation | ||||
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Erschienen: | 2024 | ||||
Autor(en): | Buchhorn, Moritz | ||||
Art des Eintrags: | Erstveröffentlichung | ||||
Titel: | Unbiased Angular Overlap Model parameters from ab initio calculations | ||||
Sprache: | Englisch | ||||
Referenten: | Krewald, Prof. Dr. Vera ; Plenio, Prof. Dr. Herbert | ||||
Publikationsjahr: | 18 März 2024 | ||||
Ort: | Darmstadt | ||||
Kollation: | xii, 167 Seiten | ||||
Datum der mündlichen Prüfung: | 19 Januar 2024 | ||||
DOI: | 10.26083/tuprints-00026712 | ||||
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/26712 | ||||
Kurzbeschreibung (Abstract): | In this work, molecular transition metal complexes are investigated with a quantum chemicalmulticonfigurational method in conjunction with ligand field theory (LFT). Ligand field theory is an established tool to parameterize electronic and magnetic properties of transition metal complexes. The parameterization used is the angular overlap model (AOM), which parameterizes the ligand field locally, i.e. each parameter set refers to a specific metal-ligand pair. The advantage of the AOM compared with other ligand field schemes is thus the possibility to assess the effect of particular ligands in a complex instead of relying on global parameters that can only describe whole complexes. The downside of this approach is the high number of parameters, often leading to underdetermined problems that make an AOM fit difficult. Common approaches to solve this issue are artificial relationships and assumptions that introduce biased parameters. In this work, complete active space (CAS) calculations and the ab initio ligand field theory routine implemented in the ORCA quantum chemistry software are used to calculate electronic state energies that are necessary to fit AOM parameters. The calculated data is equivalent to the information obtained by spectroscopic methods that yield the energy difference of excited states, e.g. UV-Vis spectroscopy. The use of computational methods comes with an array of advantages compared to spectroscopic measurements, most importantly the unambiguous assignment of states and the possibility to investigate structural snapshots instead of thermally averaged structures. These properties can be used to create structural samples of low symmetry, which have fewer degenerate electronic states and therefore permit AOM parameterizations that are impossible when only considering experimental data. By this, it is not necessary anymore to avoid AOM underdetermination by fixing parameters or introducing relational rules. It is thus an approach to remove bias and obtain more objective parameter sets. The asymmetric structure sample approach is shown to reproduce known trends reliably, so it can be used to fill data gaps in series, for which experimental data is difficult to obtain or interpret. It is also shown that the unbiased parameterization of ammonia ligands yields a significant π interaction, which is in contrast to common approximations in the AOM parameterization. The proof of concept works are supported by a software that performs the asymmetric structure sampling and the AOM parameterization. This software is also presented in this work and its development versions were used for all computational investigations performed here. |
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Alternatives oder übersetztes Abstract: |
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Status: | Verlagsversion | ||||
URN: | urn:nbn:de:tuda-tuprints-267127 | ||||
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 540 Chemie | ||||
Fachbereich(e)/-gebiet(e): | 07 Fachbereich Chemie 07 Fachbereich Chemie > Quantenchemie |
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Hinterlegungsdatum: | 18 Mär 2024 13:18 | ||||
Letzte Änderung: | 19 Mär 2024 07:22 | ||||
PPN: | |||||
Referenten: | Krewald, Prof. Dr. Vera ; Plenio, Prof. Dr. Herbert | ||||
Datum der mündlichen Prüfung / Verteidigung / mdl. Prüfung: | 19 Januar 2024 | ||||
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