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

Band Theory02:35

Band Theory

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,...
Energy Bands in Solids01:01

Energy Bands in Solids

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 that no two...
Semiconductors01:22

Semiconductors

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...
Fermi Level Dynamics01:12

Fermi Level Dynamics

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...
Fermi Level01:18

Fermi Level

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,...
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
Molecular Solids
Molecular crystalline solids, such as ice, sucrose (table sugar), and iodine, are solids that are composed of neutral molecules as their constituent units. These molecules are held together by weak intermolecular forces such as London dispersion forces, dipole-dipole interactions, or hydrogen bonds, which...

You might also read

Related Articles

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

Sort by
Same author

Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature.

Journal of chemical information and modeling·2019
Same author

High-throughput screening of high-capacity electrodes for hybrid Li-ion-Li-O₂ cells.

Physical chemistry chemical physics : PCCP·2014
Same author

Low intensity conduction states in FeS2: implications for absorption, open-circuit voltage and surface recombination.

Journal of physics. Condensed matter : an Institute of Physics journal·2013
Same author

Kinetics of non-equilibrium lithium incorporation in LiFePO4.

Nature materials·2011
Same author

Fatal poisoning in drug addicts in the Nordic countries in 2007.

Forensic science international·2010
Same author

Injectable silicone biomaterial (PTQ) is more effective than carbon-coated beads (Durasphere) in treating passive faecal incontinence--a randomized trial.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2008

Related Experiment Video

Updated: Jun 5, 2026

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

Efficient band gap prediction for solids.

M K Y Chan1, G Ceder

  • 1Physics/Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

Physical Review Letters
|January 15, 2011
PubMed
Summary
This summary is machine-generated.

We introduce the Delta-sol method for accurately predicting solid-state band gaps using density functional theory. This approach significantly reduces errors compared to standard methods, offering a more efficient computational tool for materials science.

More Related Videos

Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials
10:35

Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials

Published on: September 26, 2014

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

Related Experiment Videos

Last Updated: Jun 5, 2026

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

Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials
10:35

Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials

Published on: September 26, 2014

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

Area of Science:

  • Solid-state physics
  • Computational materials science
  • Quantum chemistry

Background:

  • Predicting fundamental band gaps in solids is crucial for understanding and designing materials with specific electronic properties.
  • Traditional density functional theory (DFT) methods often struggle with accurate band gap prediction.
  • Existing methods require significant computational resources or suffer from inaccuracies.

Purpose of the Study:

  • To develop an efficient and accurate method for predicting fundamental band gaps in solids.
  • To generalize the Delta self-consistent-field (ΔSCF) method for application to infinite solid systems.
  • To improve upon the accuracy of standard DFT calculations for band gaps.

Main Methods:

  • The proposed Δ-sol method generalizes the Delta self-consistent-field (ΔSCF) approach to infinite solids.
  • The method is based on calculating total-energy differences.
  • It incorporates dielectric screening properties of electrons.
  • Local and semilocal exchange-correlation functionals (LDA, GGAs) are employed.

Main Results:

  • The Δ-sol method demonstrates a 70% reduction in mean absolute errors compared to Kohn-Sham gaps.
  • Accuracy was validated on over 100 compounds with experimental band gaps ranging from 0.5 to 4 eV.
  • The computational cost remains comparable to typical DFT calculations.

Conclusions:

  • The Δ-sol method provides an efficient and accurate approach for predicting fundamental band gaps in solids.
  • This advancement offers a valuable tool for computational materials science and solid-state physics research.
  • The method shows significant improvement over standard DFT calculations, particularly when using local and semilocal functionals.