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Nonlinear-response properties in a simplified time-dependent density functional theory (sTD-DFT) framework:
Marc de Wergifosse1, Stefan Grimme1
1Mulliken Center for Theoretical Chemistry, Institut für Physikalische und Theoretische Chemie, Beringstr. 4, 53115 Bonn, Germany.
We developed a faster quantum chemistry method, simplified time-dependent density functional theory (sTD-DFT), to efficiently calculate nonlinear optical properties for designing new microscopy dyes and analyzing biological systems.
Area of Science:
- Quantum Chemistry
- Computational Spectroscopy
- Microscopy
Background:
- Nonlinear imaging microscopy requires efficient theoretical tools for characterizing nonlinear optical properties.
- Quantum chemistry can aid in designing new dyes and understanding biological systems for second-harmonic imaging microscopy (SHIM).
- Existing methods struggle with screening numerous compounds and analyzing large biological systems efficiently.
Purpose of the Study:
- To present a novel simplified time-dependent density functional theory (sTD-DFT) implementation for evaluating first hyperpolarizability.
- To develop an ultra-fast tight-binding version (sTD-DFT-xTB) for rapid hyperpolarizability calculations.
- To enable efficient screening of compounds and analysis of large systems for SHIM applications.
Main Methods:
- Developed a simplified time-dependent density functional theory (sTD-DFT) approach.
- Approximated Coulomb and exchange integrals using short-range damped Coulomb interactions of transition density monopoles.
- Introduced a tight-binding version (sTD-DFT-xTB) for further acceleration.
Main Results:
- The sTD-DFT implementation is over 600 times faster than regular TD-DFT.
- The sTD-DFT-xTB version offers an additional speed-up of at least two orders of magnitude.
- The method was successfully tested on push-pull π-conjugated compounds, fluorescent proteins, and a collagen model.
Conclusions:
- The new sTD-DFT and sTD-DFT-xTB methods provide efficient tools for calculating first hyperpolarizability.
- These methods can significantly accelerate the design of new dyes and the study of biological systems for SHIM.
- The computational efficiency allows for screening large numbers of compounds and analyzing complex biological structures.
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