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Published on: April 12, 2019
Minimal Active Space: NOSCF and NOSI in Multistate Density Functional Theory
Yangyi Lu1, Ruoqi Zhao1,2, Jun Zhang1
1Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen518055, China.
This study introduces a minimal active space (MAS) for multistate density functional theory (MSDFT) to accurately calculate molecular system eigenstates. This approach offers an upper bound for density matrix calculations, improving accuracy for ground and excited states.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Current methods in wave function theory often require expanding active space sizes to approximate wave functions.
- Multistate density functional theory (MSDFT) offers a framework for studying multiple electronic states simultaneously.
- Accurate calculation of molecular eigenstates, including excited states, is crucial for understanding chemical phenomena.
Purpose of the Study:
- To introduce a minimal active space (MAS) for MSDFT, providing an upper bound for calculating N-dimensional matrix density functions.
- To develop computational approaches for optimizing the MAS and calculating eigenstate energies and diabatic states.
- To stimulate the development of approximate multistate density functionals for both ground and excited states.
Main Methods:
- Introduction of a minimal active space (MAS) comprising no more than N^2 nonorthogonal Slater determinants for N eigenstates.
- Partitioning of the total Hamiltonian matrix functional into orbital-dependent and correlation matrix functional parts.
- Derivation of nonorthogonal multistate self-consistent-field (NOSCF) equations and introduction of a multistate correlation potential.
- Description of a nonorthogonal state interaction (NOSI) procedure for separate optimization of determinant functions.
Main Results:
- The MAS approach provides an upper bound for the N-dimensional matrix density function in MSDFT.
- The NOSCF and NOSI computational methods are presented for variational optimization and calculation of eigenstate energies.
- The developed methods are capable of constructing variational diabatic states when the universal correlation matrix functional is known.
Conclusions:
- The minimal active space (MAS) in MSDFT provides a computationally tractable and accurate method for determining molecular eigenstates.
- The proposed NOSCF and NOSI methods offer practical pathways for implementing MSDFT calculations.
- This work is expected to foster advancements in approximate multistate density functionals for diverse chemical applications.
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