The advent of ever more powerful excited-state electronic structure methods has led to a tremendous increase in the predictive power of computation, but it has also rendered the analysis of these computations much more challenging and time-consuming. TheoDORE tackles this problem through providing tools for post-processing excited-state computations, which automate repetitive tasks and provide rigorous and reproducible descriptors. Interfaces are available for ten different quantum chemistry codes and a range of excited-state methods implemented therein. This article provides an overview of three popular functionalities within TheoDORE, a fragment-based analysis for assigning state character, the computation of exciton sizes for measuring charge transfer, and the natural transition orbitals used not only for visualization but also for quantifying multiconfigurational character. Using the examples of an organic push–pull chromophore and a transition metal complex, it is shown how these tools can be used for a rigorous and automated assignment of excited-state character. In the case of a conjugated polymer, we venture beyond the limits of the traditional molecular orbital picture to uncover spatial correlation effects using electron–hole correlation plots and conditional densities.
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28 February 2020
Research Article|
February 26 2020
TheoDORE: A toolbox for a detailed and automated analysis of electronic excited state computations
F. Plasser
F. Plasser
a)
Department of Chemistry, Loughborough University
, Loughborough LE11 3TU, United Kingdom
a)Author to whom correspondence should be addressed: f.plasser@lboro.ac.uk. URL: https://fplasser.sci-public.lboro.ac.uk
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a)Author to whom correspondence should be addressed: f.plasser@lboro.ac.uk. URL: https://fplasser.sci-public.lboro.ac.uk
Note: This article is part of the JCP Special Topic on Electronic Structure Software.
J. Chem. Phys. 152, 084108 (2020)
Article history
Received:
December 19 2019
Accepted:
January 28 2020
Citation
F. Plasser; TheoDORE: A toolbox for a detailed and automated analysis of electronic excited state computations. J. Chem. Phys. 28 February 2020; 152 (8): 084108. https://doi.org/10.1063/1.5143076
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