AOMadillo : A program for fitting angular overlap model parameters

© 2023 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC.

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 45(2023), 2 vom: 15. Jan., Seite 122-134
1. Verfasser: Buchhorn, Moritz (VerfasserIn)
Weitere Verfasser: Krewald, Vera
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article angular overlap model ligand field theory quantum chemistry transition metals
LEADER 01000naa a22002652 4500
001 NLM362642532
003 DE-627
005 20231226091648.0
007 cr uuu---uuuuu
008 231226s2024 xx |||||o 00| ||eng c
024 7 |a 10.1002/jcc.27224  |2 doi 
028 5 2 |a pubmed24n1208.xml 
035 |a (DE-627)NLM362642532 
035 |a (NLM)37767988 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Buchhorn, Moritz  |e verfasserin  |4 aut 
245 1 0 |a AOMadillo  |b A program for fitting angular overlap model parameters 
264 1 |c 2024 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Revised 28.11.2023 
500 |a published: Print-Electronic 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a © 2023 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC. 
520 |a The angular overlap model (AOM) is an established parameterization scheme within ligand field theory (LFT). In principle, its application is fairly straightforward, but can be tedious and involve a trial-and-error approach to identify and judge the best set of parameters. With the availability of quantum chemical methods to predict d-d transitions in transition metal complexes, a rich source of computational spectroscopic data with unambiguous assignments to electronic states is available. Herein, we present AOMadillo, a software package that is designed to interface the output of ab initio LFT calculations from the ORCA suite of programs and performs a least-squares fit for a chosen AOM parameterization. Many steps of the AOM parameterization are automated, so that scans of geometric parameters and evaluations of sets of similar complexes are convenient. The fitting routine is highly configurable, allowing the efficient evaluation of different parameter sets 
650 4 |a Journal Article 
650 4 |a angular overlap model 
650 4 |a ligand field theory 
650 4 |a quantum chemistry 
650 4 |a transition metals 
700 1 |a Krewald, Vera  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Journal of computational chemistry  |d 1984  |g 45(2023), 2 vom: 15. Jan., Seite 122-134  |w (DE-627)NLM098138448  |x 1096-987X  |7 nnns 
773 1 8 |g volume:45  |g year:2023  |g number:2  |g day:15  |g month:01  |g pages:122-134 
856 4 0 |u http://dx.doi.org/10.1002/jcc.27224  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 45  |j 2023  |e 2  |b 15  |c 01  |h 122-134