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

Carrier Transport01:21

Carrier Transport

1.2K
The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:
1.2K
Theory of Metallic Conduction01:17

Theory of Metallic Conduction

2.0K
The conduction of free electrons inside a conductor is best described by quantum mechanics. However, a classical model makes predictions close to the results of quantum mechanics. It is called the theory of metallic conduction.
In this theory, Newton's second law of motion is used to determine the acceleration of an electron in the presence of an applied electric field. Then, its velocity is expressed via this acceleration.
An electron moves through the crystal, containing positive ions,...
2.0K
Semiconductors01:22

Semiconductors

1.9K
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...
1.9K
Band Theory02:35

Band Theory

17.8K
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,...
17.8K
Debye–Huckel–Onsager Conductance Equation01:28

Debye–Huckel–Onsager Conductance Equation

219
The Debye-Hückel-Onsager equation is a cornerstone of physical chemistry, providing a method to determine the molar conductance (Λm) and molar conductance at infinite dilution (Λ°m) for uni-univalent electrolytes.Uni-univalent electrolytes are electrolytes that dissociate in solution to produce one cation with a +1 charge and one anion with a –1 charge per formula unit.This equation addresses two crucial phenomena: the asymmetry effect and the electrophoretic effect.
219
Types of Semiconductors01:20

Types of Semiconductors

1.8K
Intrinsic semiconductors are highly pure materials with no impurities. At absolute zero, these semiconductors behave as perfect insulators because all the valence electrons are bound, and the conduction band is empty, disallowing electrical conduction. The Fermi level is a concept used to describe the probability of occupancy of energy levels by electrons at thermal equilibrium. In intrinsic semiconductors, the Fermi level is positioned at the midpoint of the energy gap at absolute zero. When...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Extrapolating Efficacy of Cariprazine to Pediatric Schizophrenia and Bipolar Mania Through Population Pharmacokinetic Analysis.

Journal of clinical pharmacology·2026
Same author

Organic Materials of Tomorrow: Horizons of Artificial Intelligence.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Population Pharmacokinetics and Exposure-Response Analyses for Ubrogepant Efficacy and Safety in the Acute Treatment of Migraine: Analysis of Phase 1-3 Studies.

Journal of clinical pharmacology·2026
Same author

Short-Wavelength Infrared Imaging with Organic Photodetectors Based on Non-Fullerene Acceptors with Detection above 1200 nm.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Coarse-graining of small molecules in inhomogeneous systems through local-density dependent potentials.

The Journal of chemical physics·2026
Same author

Accurate Coarse-Graining of Conjugated Organic Molecules in Melts and Thin Films Using Density-Dependent Potentials.

Journal of chemical theory and computation·2026

Related Experiment Video

Updated: Apr 5, 2026

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

9.1K

Parameter-free continuous drift-diffusion models of amorphous organic semiconductors.

Pascal Kordt1, Sven Stodtmann, Alexander Badinski

  • 1Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany. kordt@mpip-mainz.mpg.de denis.andrienko@mpip-mainz.mpg.de.

Physical Chemistry Chemical Physics : PCCP
|August 13, 2015
PubMed
Summary

This study introduces a new method for organic semiconductor device optimization by tabulating simulation results. This approach improves accuracy over traditional drift-diffusion models for materials like DPBIC in organic light-emitting diodes.

More Related Videos

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

8.6K
Carrier Lifetime Measurements in Semiconductors through the Microwave Photoconductivity Decay Method
07:38

Carrier Lifetime Measurements in Semiconductors through the Microwave Photoconductivity Decay Method

Published on: April 18, 2019

35.2K

Related Experiment Videos

Last Updated: Apr 5, 2026

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

9.1K
Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

8.6K
Carrier Lifetime Measurements in Semiconductors through the Microwave Photoconductivity Decay Method
07:38

Carrier Lifetime Measurements in Semiconductors through the Microwave Photoconductivity Decay Method

Published on: April 18, 2019

35.2K

Area of Science:

  • Organic electronics
  • Materials science
  • Semiconductor device physics

Background:

  • Continuous drift-diffusion models are standard for optimizing organic semiconducting devices.
  • Material properties in these models depend on temperature, charge density, and external fields, often using Gaussian disorder models.
  • Existing analytic expressions and lattice models have limitations in their applicability and approximations.

Purpose of the Study:

  • To overcome limitations of current drift-diffusion models in organic electronics.
  • To propose and validate a novel scheme for more accurate device simulations.
  • To enhance the predictive power of computational models for organic semiconducting devices.

Main Methods:

  • Developed a scheme that tabulates simulation results from small-scale, off-lattice models.
  • Corrected simulation data for finite size effects.
  • Utilized tabulated mobility values to solve drift-diffusion equations for device characteristics.

Main Results:

  • The proposed scheme was tested on DPBIC, a high-performance hole conductor for organic light-emitting diodes (OLEDs).
  • Achieved good agreement between simulated and experimentally measured current-voltage characteristics.
  • Validated the model's accuracy across different film thicknesses and temperatures.

Conclusions:

  • The novel tabulation scheme offers a more robust alternative to traditional analytic expressions in drift-diffusion modeling.
  • This method enhances the accuracy of organic semiconductor device simulations, particularly for state-of-the-art materials.
  • The findings contribute to more reliable optimization of organic electronic devices like OLEDs.