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Basis Sets in Computational Chemistry

Jese Leos
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Published in Basis Sets In Computational Chemistry (Lecture Notes In Chemistry 107)
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Basis sets are a fundamental component of computational chemistry. They provide a mathematical representation of the molecular orbitals that are used to describe the electronic structure of molecules. The choice of basis set can have a significant impact on the accuracy and efficiency of computational chemistry calculations.

There are a variety of different types of basis sets, each with its own advantages and disadvantages. The most common types of basis sets are:

  • Slater-type orbitals (STOs): STOs are the simplest type of basis set. They are defined by a single exponential function and are centered on the atomic nuclei.
  • Gaussian-type orbitals (GTOs): GTOs are more computationally efficient than STOs and are defined by a linear combination of Gaussian functions.
  • Plane waves (PW): PWs are defined by a set of periodic functions that are delocalized over the entire molecule.
  • Numerical atomic orbitals (NAOs): NAOs are generated by solving the Schrödinger equation numerically and are typically used in conjunction with PWs.

The choice of basis set for a particular computational chemistry calculation depends on a number of factors, including:

Basis Sets in Computational Chemistry (Lecture Notes in Chemistry 107)
Basis Sets in Computational Chemistry (Lecture Notes in Chemistry Book 107)
by Jack Heart

4.7 out of 5

Language : English
File size : 35526 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 260 pages
Hardcover : 297 pages
Item Weight : 7.5 ounces
Dimensions : 6 x 0.34 x 9 inches
Paperback : 136 pages
  • The size of the molecule: Larger molecules require more basis functions to accurately represent their electronic structure.
  • The accuracy required: Calculations that require high accuracy will need to use a larger basis set.
  • The computational resources available: The computational cost of a calculation increases with the size of the basis set.

Basis sets are used in a wide variety of computational chemistry applications, including:

  • Electronic structure calculations: Basis sets are used to calculate the electronic structure of molecules, including the energies, orbitals, and charge distributions.
  • Molecular dynamics simulations: Basis sets are used to calculate the forces between molecules and to simulate their dynamics.
  • Quantum chemistry calculations: Basis sets are used to perform quantum chemical calculations, such as Hartree-Fock theory and density functional theory.

Each type of basis set has its own advantages and disadvantages. The following table summarizes the key advantages and disadvantages of the most common types of basis sets:

| Basis Set | Advantages | Disadvantages | |---|---|---| | STOs | Simple and computationally efficient | Less accurate than other types of basis sets | | GTOs | More accurate than STOs | Less computationally efficient than STOs | | PWs | Very accurate | Less computationally efficient than GTOs | | NAOs | Very accurate | Less computationally efficient than PWs |

The choice of basis set for a particular computational chemistry calculation depends on a number of factors, including the size of the molecule, the accuracy required, and the computational resources available. The following guidelines can help you choose the appropriate basis set for your calculations:

  • For small molecules, a small basis set, such as the STO-3G or 3-21G basis set, may be sufficient.
  • For larger molecules, a larger basis set, such as the 6-31G or 6-311G basis set, may be necessary.
  • For high-accuracy calculations, a very large basis set, such as the aug-cc-pVTZ or aug-cc-pVQZ basis set, may be necessary.

Basis sets are a fundamental component of computational chemistry. They provide a mathematical representation of the molecular orbitals that are used to describe the electronic structure of molecules. The choice of basis set can have a significant impact on the accuracy and efficiency of computational chemistry calculations. By understanding the different types of basis sets and their advantages and disadvantages, you can choose the appropriate basis set for your specific needs.

Basis Sets in Computational Chemistry (Lecture Notes in Chemistry 107)
Basis Sets in Computational Chemistry (Lecture Notes in Chemistry Book 107)
by Jack Heart

4.7 out of 5

Language : English
File size : 35526 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 260 pages
Hardcover : 297 pages
Item Weight : 7.5 ounces
Dimensions : 6 x 0.34 x 9 inches
Paperback : 136 pages
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The book was found!
Basis Sets in Computational Chemistry (Lecture Notes in Chemistry 107)
Basis Sets in Computational Chemistry (Lecture Notes in Chemistry Book 107)
by Jack Heart

4.7 out of 5

Language : English
File size : 35526 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 260 pages
Hardcover : 297 pages
Item Weight : 7.5 ounces
Dimensions : 6 x 0.34 x 9 inches
Paperback : 136 pages
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