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Related Concept Videos

Carrier Transport01:21

Carrier Transport

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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:
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Energy Transfer in Chemical Reactions01:16

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Chemical reactions require sufficient energy to cause the matter to collide with enough precision and force that old chemical bonds can be broken and new ones formed. In general, kinetic energy is the form of energy powering any type of matter in motion. Imagine a person building a brick wall. The energy it takes to lift and place one brick on top of another is the kinetic energy—the energy matter possesses because of its motion. Once the wall is in place, it stores potential energy.
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Electrolysis

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In a galvanic cell, the electrical work is done by a redox system on its surroundings as electrons produced by the spontaneous redox reactions are transferred through an external circuit. Alternatively, an external circuit does work on a redox system by imposing a voltage sufficient to drive an otherwise nonspontaneous reaction in a process known as electrolysis. For instance, recharging a battery involves the use of an external power source to drive the spontaneous (discharge) cell reaction in...
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The Nernst Equation

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Nonstandard Reaction Conditions
The interconnection between standard cell potentials and various thermodynamic parameters such as the standard free energy change ΔG° and equilibrium constant K has been previously explored. For example, a redox reaction involving zinc(II) and tin(II) ions at 1 M concentration with Eºcell = +0.291 V and ΔG° = −56.2 kJ is spontaneous.
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Redox Equilibria: Overview01:23

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A reduction-oxidation reaction is commonly called a redox reaction. In a redox reaction, electrons are transferred from one species to another rather than being shared between or among atoms. The reducing agent or reductant is the species that loses electrons and gets oxidized in the process. The species that gains electrons and gets reduced in the process is the oxidizing agent or oxidant. Redox reactions are represented as two separate equations called half-reactions, where one equation...
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Related Experiment Video

Updated: Jan 7, 2026

Thermochemical Studies of NiII and ZnII Ternary Complexes Using Ion Mobility-Mass Spectrometry
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Electron Density Transport During Chemical Reactions.

Jackson Elowitt1, Nathan May2, Yihui Wei1

  • 1Department of Chemistry, University of Utah, Salt Lake City, Utah 84106, United States.

Journal of Chemical Theory and Computation
|December 23, 2025
PubMed
Summary
This summary is machine-generated.

Optimal transport (OT) offers a computationally efficient method to analyze changes in electron density during chemical reactions. This approach reveals how electron distribution evolves, providing new insights into chemical reactivity.

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Area of Science:

  • Computational Chemistry
  • Theoretical Chemistry
  • Chemical Physics

Background:

  • Statistical methods are crucial for analyzing electronic structure changes during chemical reactions and molecular excitations.
  • High-throughput studies require computationally efficient methods with minimal data preprocessing.

Purpose of the Study:

  • To investigate optimal transport (OT) as a method for characterizing electronic structure changes.
  • To apply OT to electron densities along a reaction coordinate to understand noncore electron density evolution.

Main Methods:

  • Optimal transport (OT) was used to compare probability distributions of electron densities.
  • The method was applied to Bergman cyclization and proton transfer in a water cluster.
  • Analysis involved partitioning the transport plan to track electron density evolution.

Main Results:

  • OT provided chemically intuitive insights into Bergman cyclization, complementing the electron localization function.
  • For proton transfer, OT clearly identified individual transfer events in ab initio molecular dynamics simulations.
  • The approach demonstrated effectiveness in analyzing electron density dynamics.

Conclusions:

  • Optimal transport is a promising new framework for studying chemical reactivity.
  • The method offers computational efficiency and requires minimal data preprocessing.
  • OT provides valuable insights into the evolution of electron density during chemical processes.