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Generalized-active-space pair-density functional theory: an efficient method to study large, strongly correlated,
Soumen Ghosh1, Christopher J Cramer1, Donald G Truhlar1
1Department of Chemistry , Chemical Theory Center , Supercomputing Institute , University of Minnesota , 207 Pleasant Street SE , Minneapolis , MN 55455-0431 , USA . Email: gagliard@umn.edu ; Email: cramer@umn.edu ;
Multiconfiguration pair-density functional theory (MC-PDFT) accurately predicts singlet-triplet gaps in large organic molecules. This new method offers a practical approach for strongly correlated systems, potentially setting a new benchmark for electronic structure calculations.
Area of Science:
- Computational Chemistry
- Theoretical Chemistry
- Quantum Chemistry
Background:
- Accurate prediction of ground- and excited-state properties for open-shell organic molecules is challenging due to complex electron correlation.
- Strongly correlated systems, exhibiting near-degeneracy effects, pose significant difficulties for standard electronic structure methods.
- Existing multiconfigurational wave function methods struggle with dynamic correlation in large active spaces.
Purpose of the Study:
- To introduce and validate multiconfiguration pair-density functional theory (MC-PDFT) for strongly correlated organic systems.
- To calculate singlet-triplet gaps in oligoacenes using MC-PDFT with large active spaces.
- To assess the performance of MC-PDFT against established, computationally intensive methods.
Main Methods:
- Development and application of multiconfiguration pair-density functional theory (MC-PDFT).
- Calculation of singlet-triplet gaps for oligoacenes from naphthalene to dodecacene.
- Utilized large, orbitally optimized active spaces (50 electrons in 50 orbitals) and tested various active space partitions.
Main Results:
- MC-PDFT successfully computed singlet-triplet splittings for oligoacenes.
- Results obtained were consistent with high-level, more computationally expensive methods.
- Demonstrated the capability of MC-PDFT to handle large active spaces with significant static and dynamic correlation.
Conclusions:
- MC-PDFT provides a practical and accurate approach for predicting properties of strongly correlated open-shell organic molecules.
- The method shows promise as a benchmark for evaluating other electronic structure models in the absence of experimental data.
- MC-PDFT effectively combines the strengths of wave function theory and density functional theory.
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