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Network Covalent Solids

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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
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Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
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When two or more atoms come together to form a molecule, their atomic orbitals combine and molecular orbitals of distinct energies result. In a solid, there are a large number of atoms, and therefore a large number of atomic orbitals that may be combined into molecular orbitals. These groups of molecular orbitals are so closely placed together to form continuous regions of energies, known as the bands.
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Isolated atoms have discrete energy levels that are well described by the Bohr model. And, it quantifies the energy of an electron in a hydrogen atom as En. Higher quantum numbers 'n' yield less negative, closer electron energy levels.
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An ionic compound is stable because of the electrostatic attraction between its positive and negative ions. The lattice energy of a compound is a measure of the strength of this attraction. The lattice energy (ΔHlattice) of an ionic compound is defined as the energy required to separate one mole of the solid into its component gaseous ions. For the ionic solid sodium chloride, the lattice energy is the enthalpy change of the process:
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The molecular orbital theory describes the distribution of electrons in molecules in a manner similar to the distribution of electrons in atomic orbitals. The region of space in which a valence electron in a molecule is likely to be found is called a molecular orbital. Mathematically, the linear combination of atomic orbitals (LCAO) generates molecular orbitals. Combinations of in-phase atomic orbital wave functions result in regions with a high probability of electron density, while...
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Electron correlation in solids via density embedding theory.

Ireneusz W Bulik1, Weibing Chen1, Gustavo E Scuseria1

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|August 10, 2014
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Summary
This summary is machine-generated.

Density matrix embedding theory is extended for ab initio descriptions of infinite systems. This method accurately calculates electronic structures for extended systems efficiently, comparable to traditional coupled cluster methods.

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Area of Science:

  • Quantum chemistry
  • Condensed matter physics
  • Computational materials science

Background:

  • Density matrix embedding theory (DMET) and density embedding theory (DET) have been developed for model systems.
  • Accurate electronic structure calculations for infinite systems remain computationally demanding.

Purpose of the Study:

  • To extend DMET/DET formalism to the ab initio description of infinite systems.
  • To develop an efficient method for calculating electronic structures of extended materials.

Main Methods:

  • Formulation of an impurity Hamiltonian for infinite systems.
  • Application of coupled cluster theory as an impurity solver.
  • Utilizing Wannier functions without requiring localization of unoccupied bands.

Main Results:

  • Demonstrated applicability in 1, 2, and 3 dimensions.
  • Achieved results comparable to traditional coupled cluster calculations for infinite systems.
  • Showcased efficiency gains, reducing computational cost significantly.

Conclusions:

  • The extended embedding scheme provides a computationally efficient route to highly accurate electronic structure calculations for extended systems.
  • This approach offers a promising alternative for studying large and complex materials.
  • Addresses challenges in disentangling fragment and bath states in embedding theories.