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Published on: May 27, 2020
Target State Optimized Density Functional Theory for Electronic Excited and Diabatic States
Jun Zhang1, Zhen Tang1, Xiaoyong Zhang1
1Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518055, P. R. China.
Target State Optimization (TSO) offers a flexible method for exploring electronic excited states and localized diabatic states. This approach variationally optimizes wave functions, avoiding collapse and improving accuracy for various electronic configurations.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Accurate exploration of electronic excited configurations and localized diabatic states is crucial for understanding molecular properties and reactions.
- Conventional methods like delta self-consistent field (ΔSCF) can suffer from state collapse and lack flexibility in defining target states.
- Time-dependent density functional theory (TD-DFT) is widely used but has limitations for certain types of electronic excitations.
Purpose of the Study:
- To introduce and describe a flexible self-consistent field method, Target State Optimization (TSO), for exploring electronic excited configurations and localized diabatic states.
- To demonstrate the applicability and advantages of TSO within Hartree-Fock and Kohn-Sham density functional theory (DFT) frameworks.
- To provide a robust computational tool for analyzing intermolecular interactions and simulating charge transfer processes.
Main Methods:
- The Target State Optimization (TSO) method partitions molecular orbitals into distinct subspaces based on excitation or localization patterns.
- Orbital-subspace constraints prevent mixing between different subspaces, enabling variational optimization of determinant wave functions.
- TSO is implemented in both Hartree-Fock and Kohn-Sham DFT (TSO-DFT), including density projection procedures and working equations.
Main Results:
- TSO-DFT and TD-DFT yield comparable excitation energies for valence excited states of organic compounds (average errors of 0.5 and 0.4 eV, respectively).
- TSO-DFT demonstrates superior performance over conventional TD-DFT for core excitations, doubly excited states, and charge-transfer states.
- TSO-DFT enables the definition of variationally optimized charge-localized diabatic states for energy decomposition analysis and molecular dynamics simulations.
Conclusions:
- The TSO method provides a flexible and robust approach for studying complex electronic excited states and localized diabatic states.
- TSO-DFT offers improved accuracy and reliability compared to TD-DFT for specific challenging electronic configurations.
- The method facilitates deeper insights into intermolecular interactions and enables advanced simulations of charge transfer phenomena.
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