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Related Concept Videos

Semiconductors01:22

Semiconductors

540
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...
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Band Theory02:35

Band Theory

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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.
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Energy Bands in Solids01:01

Energy Bands in Solids

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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...
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Types of Semiconductors01:20

Types of Semiconductors

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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...
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Fermi Level Dynamics01:12

Fermi Level Dynamics

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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...
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Fermi Level01:18

Fermi Level

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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,...
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Related Experiment Video

Updated: May 30, 2025

Theoretical Calculation and Experimental Verification for Dislocation Reduction in Germanium Epitaxial Layers with Semicylindrical Voids on Silicon
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Why does silicon have an indirect band gap?

Emily Oliphant1, Veda Mantena1, Madison Brod2

  • 1Department of Materials Science, University of Michigan, Ann Arbor, Michigan 48109, USA. whsun@umich.edu.

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Summary

We developed a method to link crystal chemistry to electronic structure using tight-binding models. This helps understand and design material properties by analyzing orbital interactions.

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Solid-State Physics

Background:

  • Understanding the relationship between a material's crystal chemistry and its electronic structure (e.g., band gap, effective masses) is challenging.
  • Density Functional Theory (DFT) provides accurate electronic structure but often lacks direct chemical interpretability.

Purpose of the Study:

  • To develop a strategy for deriving chemically interpretable tight-binding models from DFT calculations.
  • To elucidate how specific orbital interactions in a crystal dictate electronic band structure features.
  • To enable a 'bonding-by-design' approach for tuning material properties.

Main Methods:

  • Distilling sparse, chemically interpretable tight-binding models from DFT data.
  • Analyzing orbital interactions and their influence on band structure formation.
  • Applying the method to silicon and comparing its band structure to germanium.

Main Results:

  • Demonstrated how competing first and second nearest-neighbor bonds in silicon create its indirect band gap.
  • Identified specific orbital interactions responsible for the silicon conduction band's shape.
  • Showcased the ability to computationally transform silicon's band structure into germanium's by tuning bond strengths.

Conclusions:

  • The developed computational framework successfully links crystal chemistry to electronic band structure.
  • This approach provides a new paradigm for rational materials design based on understanding bonding origins.
  • Enables intuitive interpretation of electronic properties derived from DFT calculations.