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Related Concept Videos

Properties of DTFT I01:24

Properties of DTFT I

In signal processing, Discrete-Time Fourier Transforms (DTFTs) play a critical role in analyzing discrete-time signals in the frequency domain. Various properties of the DTFTs such as linearity, time-shifting, frequency-shifting, time reversal, conjugation, and time scaling help understand and manipulate these signals for different applications.
The linearity property of DTFTs is fundamental. If two discrete-time signals are multiplied by constants a and b respectively, and then combined to...
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

When an object is in equilibrium, it is either at rest or moving with a constant velocity. There are two types of equilibrium: static and dynamic. Static equilibrium occurs when an object is at rest, while dynamic equilibrium occurs when an object is moving with a constant velocity. In both cases, there must be a balance of forces acting on the object.
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
Properties of DTFT II01:24

Properties of DTFT II

In the study of discrete-time signal processing, understanding the properties of the Discrete-Time Fourier Transform (DTFT) is crucial for analyzing and manipulating signals in the frequency domain. Several properties, including frequency differentiation, convolution, accumulation, and Parseval's relation, offer powerful tools for signal analysis.
The frequency differentiation property is illustrated by considering a DTFT pair and differentiating both sides with respect to ω. Multiplying by j...
Reaction Mechanisms: The Steady-State Approximation01:26

Reaction Mechanisms: The Steady-State Approximation

The steady-state approximation, also referred to as the quasi-steady-state approximation to differentiate it from a true steady state, is a widely used method for simplifying calculations in complex reaction mechanisms. This approach is particularly useful when dealing with multi-step reactions that involve reverse reactions or several steps, which can significantly increase mathematical complexity and make the reactions nearly unsolvable analytically.The steady-state approximation operates on...

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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

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Published on: April 8, 2020

Simple preconditioning for time-dependent density functional perturbation theory.

Lauri Lehtovaara1, Miguel A L Marques

  • 1LPMCN, Université Claude Bernard Lyon I and CNRS, 69622 Villeurbanne, France. lauri.lehtovaara@iki.fi

The Journal of Chemical Physics
|July 13, 2011
PubMed
Summary
This summary is machine-generated.

We introduce a preconditioning strategy to improve calculations of electronic excitations using time-dependent density functional theory. This method enhances convergence and accuracy for the Sternheimer equation, overcoming limitations in traditional approaches.

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Paramagnetic Relaxation Enhancement for Detecting and Characterizing Self-Associations of Intrinsically Disordered Proteins

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Area of Science:

  • Computational Chemistry
  • Quantum Mechanics
  • Materials Science

Background:

  • Time-dependent density functional theory (TD-DFT) is widely used for studying electronic excitations.
  • The linear-response regime of TD-DFT relies on solving the Sternheimer equation.
  • Traditional methods face challenges with ill-conditioning and convergence near resonant frequencies.

Purpose of the Study:

  • To address the limitations of the Sternheimer method in TD-DFT calculations.
  • To develop a more efficient and robust approach for solving linear-response equations.
  • To improve the convergence properties and accuracy of electronic excitation calculations.

Main Methods:

  • A novel preconditioning strategy is proposed for the Sternheimer equation.
  • The Sternheimer equation is solved directly as a linear equation using iterative Krylov subspace methods.
  • The preconditioner utilizes information from a limited number of unoccupied Kohn-Sham states with minimal implementation changes.

Main Results:

  • The proposed method overcomes the ill-conditioning issues of the Sternheimer equation.
  • Faster convergence is achieved compared to traditional iterative techniques.
  • The method demonstrates improved performance over a wider frequency range.

Conclusions:

  • The preconditioning strategy offers a significant improvement for TD-DFT electronic excitation calculations.
  • This approach enhances the efficiency and applicability of linear-response TD-DFT.
  • The method provides a practical solution for overcoming convergence challenges in computational chemistry.