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Related Concept Videos

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...
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...
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short distances...

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Extended DFT + U + V method with on-site and inter-site electronic interactions.

Vivaldo Leiria Campo1, Matteo Cococcioni

  • 1Departamento de Física, Universidade Federal de São Carlos, 13590-905, São Carlos, SP, Brazil. vivaldo.leiria@gmail.com

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|March 10, 2011
PubMed
Summary

This study presents an advanced DFT+U method incorporating extended Hubbard model interactions for improved electronic structure calculations. The new approach accurately describes diverse materials, including Mott insulators and covalent insulators.

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Area of Science:

  • Condensed Matter Physics
  • Materials Science
  • Computational Chemistry

Background:

  • The DFT+U method is widely used for electronic structure calculations but has limitations for systems with significant electron delocalization.
  • Accurately modeling electronic interactions, including on-site and inter-site effects, is crucial for understanding material properties.
  • Mott localization and orbital hybridization are key phenomena in many advanced materials.

Purpose of the Study:

  • To introduce a generalized DFT+U method based on the extended Hubbard model.
  • To develop a corrective Hamiltonian capable of studying systems with delocalized electrons and inter-site hybridization.
  • To provide a unifying and accurate computational approach for diverse electronic systems.

Main Methods:

  • Generalization of the DFT+U method.
  • Incorporation of on-site and inter-site electronic interactions via an extended Hubbard model.
  • Development of a novel corrective Hamiltonian.

Main Results:

  • The extended functional accurately describes Mott-charge-transfer insulators like NiO.
  • The method demonstrates accuracy for covalently bonded insulators such as Si and GaAs.
  • The approach offers a versatile and unifying description for a wide range of materials.

Conclusions:

  • The generalized DFT+U method provides an accurate and versatile tool for electronic structure calculations.
  • This novel approach successfully captures complex electronic interactions beyond the standard DFT+U.
  • The method paves the way for more reliable predictions of material properties across diverse systems.