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Efficient calculation of the rotational g tensor from auxiliary density functional theory
Bernardo Zuniga-Gutierrez1, Monica Camacho-Gonzalez, Patricia Simon-Bastida
1Departamento de Quı́mica, CINVESTAV , Avenida Instituto Politécnico Nacional 2508, A.P. 14-740, México D.F. 07000, México.
Auxiliary Density Functional Theory (ADFT) with Gauge Including Atomic Orbital (GIAO) methods efficiently compute rotational g tensors. This computational chemistry approach shows good agreement with experimental data and scales to large systems.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Spectroscopy
Background:
- Calculating the rotational g tensor is computationally intensive, often requiring significant CPU time for magnetizability tensor computation.
- Existing theoretical methods may lack efficiency or scalability for complex molecular systems.
Purpose of the Study:
- To present and evaluate the Auxiliary Density Functional Theory (ADFT) with Gauge Including Atomic Orbital (GIAO) methodology for computing rotational g tensors.
- To assess the computational efficiency and accuracy of the ADFT-GIAO approach compared to experimental and other theoretical methods.
Main Methods:
- Implementation of the ADFT-GIAO methodology for rotational g tensor calculations.
- Comparison of ADFT-GIAO results with experimental data and theoretical calculations (Hartree-Fock, coupled-cluster).
- Application of the method to large systems, including carbon nanotube models.
Main Results:
- The ADFT-GIAO methodology significantly reduces CPU time for magnetizability tensor calculations.
- Rotational g tensors computed using ADFT-GIAO show good agreement with experimental values.
- The method demonstrates applicability to large molecular systems with thousands of basis functions.
Conclusions:
- The ADFT-GIAO approach offers a computationally efficient and accurate method for determining rotational g tensors.
- This methodology is a desirable tool for studying molecular properties, particularly for large and complex systems in computational chemistry.
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