Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Energy Bands in Solids01:01

Energy Bands in Solids

1.8K
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.
 Band Formation:
When atoms are brought close together, as in a solid, these discrete energy levels begin to split due to the overlap of electron orbitals from adjacent atoms. This split occurs because of the Pauli exclusion principle, which states...
1.8K
Band Theory02:35

Band Theory

17.0K
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.
The energy difference between these bands is known as the band gap.
Conductor, Semiconductor,...
17.0K
Semiconductors01:22

Semiconductors

1.4K
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
1.4K
Network Covalent Solids02:18

Network Covalent Solids

16.0K
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.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.0K
Structures of Solids02:22

Structures of Solids

17.4K
Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
17.4K
Valence Bond Theory02:42

Valence Bond Theory

11.2K
Coordination compounds and complexes exhibit different colors, geometries, and magnetic behavior, depending on the metal atom/ion and ligands from which they are composed. In an attempt to explain the bonding and structure of coordination complexes, Linus Pauling proposed the valence bond theory, or VBT, using the concepts of hybridization and the overlapping of the atomic orbitals. According to VBT, the central metal atom or ion (Lewis acid) hybridizes to provide empty orbitals of suitable...
11.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A General Approach to <i>geminal</i>-Dimethyl <i>trans</i>-Decalin Terpenoids.

Journal of the American Chemical Society·2026
Same author

Loss of Mast cells and histaminergic signaling link diet to platelet-mediated NETosis and mammary cancer recurrence.

bioRxiv : the preprint server for biology·2026
Same author

Overview of multi-omics approaches for pulmonary sarcoidosis.

EC pulmonology and respiratory medicine·2026
Same author

Integrated single-cell and bulk transcriptomic analyses reveal cellular and molecular mechanisms of ABC-type DLBCL progression and prognosis.

Discover oncology·2026
Same author

Cholesterol efflux protein, ABCA1, supports anticancer functions of myeloid immune cells.

Science advances·2026
Same author

Neutrophils exposed to a cholesterol metabolite secrete extracellular vesicles that promote epithelial-mesenchymal transition and stemness in breast cancer cells.

Cancer letters·2025

Related Experiment Video

Updated: Jan 12, 2026

Theoretical Calculation and Experimental Verification for Dislocation Reduction in Germanium Epitaxial Layers with Semicylindrical Voids on Silicon
06:57

Theoretical Calculation and Experimental Verification for Dislocation Reduction in Germanium Epitaxial Layers with Semicylindrical Voids on Silicon

Published on: July 17, 2020

2.6K

Band Structure from the Reduced Density-Matrix Functional Theory: Application to Si and Diamond.

Marinela Irimia1, Yu Wang2, Yifan Fei3

  • 1International School, Huzhou University, Huzhou, Zhejiang 313000, China.

Journal of Chemical Theory and Computation
|November 5, 2025
PubMed
Summary

This study introduces a new density-matrix functional theory for electronic band structures. The method accurately predicts band gaps using Fermi-Dirac distributions for materials like silicon and diamond.

More Related Videos

All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics
11:33

All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics

Published on: January 19, 2018

10.2K
Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
13:56

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

Published on: October 12, 2019

8.0K

Related Experiment Videos

Last Updated: Jan 12, 2026

Theoretical Calculation and Experimental Verification for Dislocation Reduction in Germanium Epitaxial Layers with Semicylindrical Voids on Silicon
06:57

Theoretical Calculation and Experimental Verification for Dislocation Reduction in Germanium Epitaxial Layers with Semicylindrical Voids on Silicon

Published on: July 17, 2020

2.6K
All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics
11:33

All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics

Published on: January 19, 2018

10.2K
Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
13:56

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

Published on: October 12, 2019

8.0K

Area of Science:

  • Condensed Matter Physics
  • Quantum Chemistry
  • Materials Science

Background:

  • Accurate calculation of electronic band structure is crucial for understanding material properties.
  • Traditional density functional theory (DFT) methods face challenges in accurately describing band gaps.
  • Reduced density-matrix functional theory offers an alternative approach to electronic structure calculations.

Purpose of the Study:

  • To develop and apply a reduced density-matrix functional theory incorporating an entropic functional for correlation.
  • To investigate the mathematical structure of the resulting band structure and its relation to the Fermi-Dirac distribution.
  • To demonstrate the method's capability in calculating band gaps for semiconductors like silicon and diamond.

Main Methods:

  • Utilized reduced density-matrix functional theory with a novel entropic functional for electron correlation.
  • Employed the Fermi-Dirac distribution to describe electron occupation numbers in bands.
  • Approximated exchange energy using the Xα model for calculations on silicon and diamond.

Main Results:

  • The developed theory yields a simple mathematical structure for band structures, directly following the Fermi-Dirac distribution.
  • The method successfully accommodates a band gap based on the occupation numbers of the lowest conduction and highest valence bands.
  • Calculations for silicon and diamond demonstrate the practical applicability and accuracy of the approach.

Conclusions:

  • The reduced density-matrix functional theory with an entropic correlation functional provides a robust framework for electronic band structure calculations.
  • The method's adherence to the Fermi-Dirac distribution simplifies the understanding and prediction of band gaps.
  • This approach offers a promising avenue for accurate material property predictions in condensed matter physics and chemistry.