Computational chemistry: Difference between revisions

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[https://en.wikipedia.org/wiki/Computational_chemistry Computational chemistry] is a branch of chemistry that incorporates the results of theoretical chemistry into computer programs to calculate the structures and properties of molecules and solids.  
[https://en.wikipedia.org/wiki/Computational_chemistry Computational chemistry] is a branch of chemistry that incorporates the results of theoretical chemistry into computer programs to calculate the structures and properties of molecules and solids.  


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* [https://github.com/atztogo/spglib Spglib], a code library for development relating to symmetries of crystals.
* [https://github.com/atztogo/spglib Spglib], a code library for development relating to symmetries of crystals.


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For an automatically-generated list of versions installed on Compute Canada systems, see [[Available software]]. For an annotated list of software supported by the Biomolecular Simulation National Team, see [[Biomolecular simulation]].
For an automatically-generated list of versions installed on Compute Canada systems, see [[Available software]]. For an annotated list of software supported by the Biomolecular Simulation National Team, see [[Biomolecular simulation]].

Revision as of 18:57, 16 January 2018

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Computational chemistry is a branch of chemistry that incorporates the results of theoretical chemistry into computer programs to calculate the structures and properties of molecules and solids.

Computational chemistry methods range from highly accurate to very approximate. Ab initio methods, based entirely on first principles, tend to be broadly applicable but very costly. Semi-empirical methods give accurate results for a narrower range of cases, but are also typically much faster than ab initio methods. Density functional methods may be thought of as a compromise in cost between ab initio and semi-empirical methods. Molecular mechanics methods, based on classical mechanics instead of quantum mechanics, are yet faster but yet more narrowly applicable.

Molecular mechanics methods are nevertheless extremely useful in the study of biological systems. Please see the Biomolecular simulation page for a discussion of the resources relevant to this area of research. The remainder of this page is intended as a survey of the resources available for high-accuracy computational chemistry, but bear in mind that the distinction is artificial and many tools are applicable to both biological and non-biological systems.

Notes on installed software

Applications

Follow the link to read about the capabilities of any of the following packages:

Libraries and tools

  • CheMPS2, a "library which contains a spin-adapted implementation of the density matrix renormalization group (DMRG) for ab initio quantum chemistry."
  • Libxc, a code library of density-functional models.
  • Molden, a visualization tool for use in conjunction with GAMESS, Gaussian, & others.
  • Open3DQSAR, a "tool aimed at pharmacophore exploration by high-throughput chemometric analysis of molecular interaction fields."
  • OpenBabel, a set of tools to enable one "to search, convert, analyze, or store data from molecular modeling, chemistry, solid-state materials, biochemistry, or related areas."
  • PCMSolver, a tool for code development related to the Polarizable Continuum Model. (Some applications listed above offer built-in capabilities related to the PCM.)
  • Spglib, a code library for development relating to symmetries of crystals.

For an automatically-generated list of versions installed on Compute Canada systems, see Available software. For an annotated list of software supported by the Biomolecular Simulation National Team, see Biomolecular simulation.