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Density is an important characteristic of substances, crucial in determining whether an object sinks or floats in a fluid. Its SI unit is kg/m3, and its cgs unit is g/cm3. The density of an object helps in identifying its composition, and also reveals information about the phase of the matter and its substructure. The densities of liquids and solids are roughly comparable, consistent with the fact that their atoms are in close contact. However, gases have much lower densities than liquids and...
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Crystal Field Theory
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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...
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Thus far, the ideal gas law, PV = nRT, has been applied to a variety of different types of problems, ranging from reaction stoichiometry and empirical and molecular formula problems to determining the density and molar mass of a gas. However, the behavior of a gas is often non-ideal, meaning that the observed relationships between its pressure, volume, and temperature are not accurately described by the gas laws. 
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The total amount of current flowing through one unit value of a cross-sectional area is referred to as current density. If the current flow is uniform, the amount of current flowing through a conductor is the same at all points along the conductor, even if the conductor area varies. The current density consists of the local magnitude and direction of the charge flow, which varies from point to point. Current density is measured in amperes per meter square, and direction is defined as the net...
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Improving Results by Improving Densities: Density-Corrected Density Functional Theory.

Eunji Sim1, Suhwan Song1, Stefan Vuckovic2,3

  • 1Department of Chemistry, Yonsei University, 50 Yonsei-ro Seodaemun-gu, Seoul 03722, Korea.

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|April 5, 2022
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Summary
This summary is machine-generated.

Density-corrected density functional theory (DC-DFT) improves accuracy by addressing errors from approximate electron densities. Using more accurate densities, like Hartree-Fock, significantly enhances results for specific chemical problems.

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Area of Science:

  • Computational Chemistry
  • Materials Science
  • Quantum Mechanics

Background:

  • Density functional theory (DFT) is widely used for its balance of accuracy and computational cost.
  • Practical DFT relies on approximations for the exchange-correlation energy, leading to approximate electron densities.
  • Errors in the electron density can significantly impact DFT results for certain problems.

Purpose of the Study:

  • To introduce and explain Density-Corrected DFT (DC-DFT).
  • To identify specific chemical and materials problems where DC-DFT offers significant improvements.
  • To explore how DC-DFT can lead to the development of more accurate DFT functionals.

Main Methods:

  • Focuses on analyzing the contribution of electron density error to total energy error in DFT.
  • Examines the impact of using more accurate electron densities (e.g., Hartree-Fock density) within the DFT framework.
  • Reviews specific chemical systems and properties where DC-DFT has shown improved performance.

Main Results:

  • The error from approximate electron densities is often negligible in DFT.
  • For specific problems like reaction barriers, torsional barriers, halogen bonds, and stretched bonds, density errors are significant.
  • Utilizing more accurate densities, such as the Hartree-Fock density, demonstrably improves DFT accuracy for these challenging cases.

Conclusions:

  • DC-DFT is a valuable approach for enhancing DFT accuracy in specific contexts.
  • The method highlights the importance of electron density quality in computational chemistry.
  • Future work should focus on developing functionals that inherently account for density errors and exploring further applications.