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Updated: Jun 22, 2026

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Published on: May 27, 2020
Towards a gauge invariant method for molecular chiroptical properties in TDDFT
Daniele Varsano1, Leonardo A Espinosa-Leal, Xavier Andrade
1National Center on Nanostructures and Biosystems at Surfaces (S3) of INFM-CNR, c/o Dipartimento di Fisica, Universitá di Modena e Reggio Emilia, Via Campi 213/A, 41100, Modena, Italy. daniele.varsano@unimore.it
We developed an efficient computational method for calculating molecular chiroptical responses. This new approach offers accurate predictions of dichroism spectra, aligning well with experimental data.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Spectroscopy
Background:
- Calculating chiroptical response is crucial for understanding molecular properties.
- Existing methods often involve computationally expensive calculations, limiting system size.
- Accurate prediction of chiroptical properties aids in molecular design and analysis.
Purpose of the Study:
- To present an efficient and generalizable computational scheme for chiroptical response.
- To implement and validate the scheme using time-dependent density functional theory (TD-DFT).
- To address limitations in current theoretical methods for predicting excitation energies and spectral features.
Main Methods:
- Employed a real-time propagation or frequency-dependent Sternheimer method within TD-DFT.
- Developed a scheme that avoids the computationally intensive sum over empty orbitals.
- Utilized a real-space pseudo-potential representation with gauge invariance corrections.
Main Results:
- Achieved favorable scaling with system size, enabling larger molecular calculations.
- Demonstrated excellent agreement between calculated and experimental dichroism spectra shapes and signs.
- Identified deficiencies in current exchange-correlation functionals for absolute excitation energy prediction.
Conclusions:
- The presented method offers an efficient and accurate approach to calculating chiroptical responses.
- The scheme's generality and ease of implementation facilitate broader application in computational chemistry.
- This work provides a valuable tool for studying chiral molecules and refining theoretical models.
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