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

Fermi Level Dynamics01:12

Fermi Level Dynamics

336
The vacuum level denotes the energy threshold required for an electron to escape from a material surface. It is usually positioned above the conduction band of a semiconductor and acts as a benchmark for comparing electron energies within various materials.
Electron affinity in semiconductors refers to the energy gap between the minimum of its conduction band and the vacuum level and it is a critical parameter in determining how easily a semiconductor can accept additional electrons.
The work...
336
Electronic Structure of Atoms02:28

Electronic Structure of Atoms

24.0K

An atom comprises protons and neutrons, which are contained inside the dense, central core called the nucleus, with electrons present around the nucleus. Taking into account the wave–particle duality of electrons and the uncertainty in position around the nucleus, quantum mechanics provides a more accurate model for the atomic structure. It describes atomic orbitals as the regions around the nucleus where electrons of discrete energy exist, characterized by four quantum...
24.0K
Electron Configurations02:46

Electron Configurations

19.5K
Electron configurations and orbital diagrams can be determined by applying the Aufbau principle (each added electron occupies the subshell of lowest energy available), Pauli exclusion principle (no two electrons can have the same set of four quantum numbers), and Hund’s rule of maximum multiplicity (whenever possible, electrons retain unpaired spins in degenerate orbitals).
The relative energies of the subshells determine the order in which atomic orbitals are filled (1s, 2s, 2p, 3s, 3p,...
19.5K
Crystal Field Theory - Tetrahedral and Square Planar Complexes02:46

Crystal Field Theory - Tetrahedral and Square Planar Complexes

44.0K
Tetrahedral Complexes
Crystal field theory (CFT) is applicable to molecules in geometries other than octahedral. In octahedral complexes, the lobes of the dx2−y2 and dz2 orbitals point directly at the ligands. For tetrahedral complexes, the d orbitals remain in place, but with only four ligands located between the axes. None of the orbitals points directly at the tetrahedral ligands. However, the dx2−y2 and dz2 orbitals (along the Cartesian axes) overlap with the ligands less than the dxy,...
44.0K
Fermi Level01:18

Fermi Level

791
The Fermi-Dirac function is represented by an S-shaped curve indicating the probability of an energy state being occupied by an electron at a given temperature. The Fermi level is the energy level at which there is a fifty percent chance of finding an electron, and it is positioned between the lower-energy valence band and the higher-energy conduction band.
At absolute zero temperature, electrons fill all energy states up to the Fermi level, leaving upper states empty. As the temperature rises,...
791
Crystal Field Theory - Octahedral Complexes02:58

Crystal Field Theory - Octahedral Complexes

27.4K
Crystal Field Theory
To explain the observed behavior of transition metal complexes (such as colors), a model involving electrostatic interactions between the electrons from the ligands and the electrons in the unhybridized d orbitals of the central metal atom has been developed. This electrostatic model is crystal field theory (CFT). It helps to understand, interpret, and predict the colors, magnetic behavior, and some structures of coordination compounds of transition metals.
CFT focuses on...
27.4K

You might also read

Related Articles

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

Sort by
Same author

Wafer-scale 2D MoS<sub>2</sub> transistors with self-aligned angstrom gate length and nanometer channel length.

Nature communications·2026
Same author

Pressure-Induced Drift Artifacts in Stretchable Liquid Metal ThinFilm Electrocardiogram Electrodes.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Longitudinal motor function and biomarker correlates in treated adult spinal muscular atrophy: a single-center cohort study.

Frontiers in neurology·2026
Same author

Genetic spectrum and clinical features of PMP22 point mutations in Japanese Charcot-Marie-Tooth disease.

Journal of neurology·2026
Same author

Coordinated sub-cycle modulation atomic layer deposition of atomically homogeneous GeTe<sub>9</sub> thin films for high-performance OTSs.

Materials horizons·2026
Same author

Compact photonic spiking neuron with inherent stochasticity based on phase-change material for probabilistic computing.

Nature communications·2026

Related Experiment Video

Updated: Sep 4, 2025

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

7.7K

DFT-1/2 and shell DFT-1/2 methods: electronic structure calculation for semiconductors at LDA complexity.

Ge-Qi Mao1,2, Zhao-Yi Yan3, Kan-Hao Xue1,2

  • 1School of Integrated Circuits, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China.

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|July 20, 2022
PubMed
Summary

Density functional theory (DFT) often underestimates semiconductor band gaps. The DFT-1/2 method offers a computationally efficient approach to correct these band gaps, providing accurate results comparable to more complex methods.

Keywords:
DFT-1/2band gapdensity functional theoryelectronic structure calculationself-energy correctionsemiconductorshell DFT-1/2

More Related Videos

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

8.5K
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.3K

Related Experiment Videos

Last Updated: Sep 4, 2025

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

7.7K
Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

8.5K
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.3K

Area of Science:

  • Computational Materials Science
  • Condensed Matter Physics
  • Quantum Chemistry

Background:

  • Kohn-Sham eigenvalues in DFT do not directly yield experimental excitation energies.
  • Local Density Approximation (LDA) in DFT typically underestimates semiconductor band gaps.
  • Accurate band gap calculations often require computationally expensive methods like hybrid functionals or GW, especially for non-strongly correlated semiconductors.

Purpose of the Study:

  • To provide a detailed derivation and review of the DFT-1/2 method for semiconductor band structure calculations.
  • To explore the assumptions, principles, and various developments of DFT-1/2.
  • To clarify the relationship between DFT-1/2 and other advanced computational techniques.

Main Methods:

  • Detailed mathematical derivation of the Slater half occupation technique.
  • Verification of the self-energy potential approach within DFT-1/2.
  • Review of DFT-1/2 developments including shell DFT-1/2, conduction band correction, and DFT+A-1/2.

Main Results:

  • Mathematical derivations confirm the validity of the self-energy potential approach in DFT-1/2.
  • The review comprehensively covers the aims, features, and principles of DFT-1/2 for covalent semiconductors.
  • Relationships and comparisons are drawn between DFT-1/2 and methods like hybrid functionals, GW, and DFT+U.

Conclusions:

  • DFT-1/2 presents a feasible and increasingly utilized approach for rectifying semiconductor band gaps with LDA-level complexity.
  • The method addresses the demand for computationally efficient yet accurate band gap calculations.
  • A thorough understanding of DFT-1/2's applications, issues, and limitations is provided.