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Geometry Optimization

Keerthi Vaasan

Geometry optimization is the process of adjusting the positions of atoms in a system to minimize its total energy. It is a crucial aspect in computational chemistry studies involving the structure and reactivity of molecules. Under the Born-Oppenheimer approximation which is separating the nuclear and electronic wavefunction, the geometry of a molecule at zero temperature is equivalent to the minimum of its potential energy surface.

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Guassian Basis

Jong Ho Choi

In short, a Gaussian basis set is a set of functions that is a linear combination of Gaussian functions. A basis set is a set of functions to describe molecular orbitals by expressing them as a linear combination of the atomic orbital analogies. Theoretically, the basis set can have any functional form, and a molecular orbital can be expanded to any function without approximation if the basis set is complete. As the number of atomic orbitals is infinite, the complete basis set should have also infinite number of functions.

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  • Home
  • A
    • Atomic Populations
  • C
    • Continuum Solvent Model
    • Coupled Cluster Theory
  • D
    • Density Functional Theory
  • E
    • Effective Core Potential
    • Electron Density
    • Entropy
    • Exchange-Correlation Functional
  • F
    • Free Energy
    • Full Configuration Interaction
  • G
    • Geometry Optimization
    • Guassian Basis
  • H
    • Hartree Fock
    • Heat Capacity
  • M
    • Møller-Plesset Perturbation Theory
  • N
    • Natural Orbitals
    • Normal Vibration Modes
  • O
    • Optical Spectrum
  • P
    • Potential Energy Surface
  • R
    • Reduced Density Matrices
  • T
    • Time Dependent Density Functional Theory
    • Transition Dipole Moment
  • V
    • Variational 2RDM
  • Z
    • Zero Point Energy

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