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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
Published on: June 7, 2018
Analytical Nuclear Gradients for State-Averaged Configuration Interaction Singles Variants: Application to Conical
1College of Engineering, Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan.
State-averaged orbital-optimized configuration interaction singles (SACIS) and its spin-projected extension (SAECIS) accurately predict conical intersection geometries. These methods offer reliable excited-state descriptions at a low computational cost.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Theoretical Chemistry
Background:
- Accurate prediction of molecular geometries and reaction pathways is crucial in chemistry.
- Minimum-energy conical intersections (MECXs) play a vital role in understanding photochemical reactions and excited-state dynamics.
- Existing methods often struggle to accurately describe conical intersections, especially within cost-effective computational frameworks.
Purpose of the Study:
- To derive analytical nuclear gradients for state-averaged orbital-optimized configuration interaction singles (SACIS) and its spin-projected extension (SAECIS).
- To enable efficient geometry optimization and MECX searches using these low-cost methods.
- To assess the accuracy and reliability of SACIS and SAECIS for describing conical intersections.
Main Methods:
- Development of analytical nuclear gradients using a Lagrangian approach.
- Explicit removal of null-space contributions in coupled-perturbed equations for numerical stability.
- Application of SACIS and SAECIS to twisted-pyramidalized ethylene and benchmark calculations on 12 MECXs.
Main Results:
- SACIS and SAECIS qualitatively reproduce correct conical intersection topology, outperforming conventional CIS and ECIS.
- Benchmark calculations show mean RMSDs below 0.1 Å compared to high-level references for both methods.
- SACIS effectively incorporates static correlation via variational orbital relaxation, mitigating ground-state Hartree-Fock orbital bias.
- Spin projection was found to be nonessential for the qualitative description of these intersections.
Conclusions:
- SACIS and SAECIS provide qualitatively reliable conical intersection descriptions at mean-field computational cost.
- SACIS offers a better cost-performance balance for general applications due to its comparable accuracy and lower computational overhead.
- SAECIS may be advantageous for systems involving higher excited states with significant double-excitation character.
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