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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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Continuous probability distributions are used to model random variables that can take on any real value within a specified range. These variables do not take on isolated or countable values but rather exist on a continuum. For example, the height of an individual can be measured with increasing precision—such as 163.5 or 165.25 centimeters—demonstrating that height is a continuous random variable.The behavior of such variables is described using a probability density function (PDF),...
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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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Understanding the strain energy density in materials under axial load is crucial for evaluating their mechanical behavior and durability. When a rod is subjected to such a load, it elongates and stores energy, known as strain energy, as potential energy within the material. This energy is measured in terms of energy per unit volume.
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Long-range corrected density functional through the density matrix expansion based semilocal exchange hole.

Bikash Patra1, Subrata Jana, Prasanjit Samal

  • 1School of Physical Sciences, National Institute of Science Education and Research, Homi Bhava National Institute, Bhubaneswar 752050, India. bikash.patra@niser.ac.in.

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A new density functional improves accuracy by combining density matrix expansion exchange holes with Hartree-Fock exchange. This range-separated functional shows good performance for molecular properties like thermochemistry and reaction barriers.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Materials Science

Background:

  • Density functional theory (DFT) is a cornerstone of modern computational chemistry.
  • Accurate modeling of electron exchange is crucial for DFT accuracy.
  • Range-separated hybrid functionals offer improved descriptions of electronic properties.

Purpose of the Study:

  • To develop a novel long-range corrected (LRC) density functional.
  • To incorporate an exchange hole derived from the density matrix expansion (DME).
  • To improve the prediction of molecular properties using DFT.

Main Methods:

  • Designed a new LRC density functional combining meta-generalized gradient approximation (mGGA) exchange with ab initio Hartree-Fock (HF) exchange.
  • Utilized a density matrix expansion (DME) based exchange hole model.
  • Employed range separation of the Coulomb interaction operator via the error function.
  • Paired the functional with the Lee-Yang-Parr (LYP) correlation functional.

Main Results:

  • The newly developed LRC functional demonstrates reasonable performance across various molecular property benchmarks.
  • Accurate predictions were achieved for thermochemistry, non-covalent interactions, and chemical reaction barrier heights.
  • The DME-based exchange hole satisfies key exact constraints, enhancing functional design.

Conclusions:

  • The proposed LRC density functional offers a promising advancement in DFT.
  • Combining DME-derived exchange with HF exchange provides a robust approach for LRC functionals.
  • The functional's balanced performance makes it suitable for diverse chemical applications.