Difference between revisions of "GAFit"

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== Authors==
 
== Authors==
Roberto Rodriguez-Fernandez, Francisco Baptista Pereira, Jorge M. C. Marques, Saulo Vázquez-Rodríguez, Emilio Martínez-Núñez
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Roberto Rodriguez-Fernandez, Francisco Baptista Pereira, [https://apps.uc.pt/mypage/faculty/qtmarque/en  Jorge M. C. Marques ], Saulo Vázquez-Rodríguez, Emilio Martínez-Núñez
  
 
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Latest revision as of 13:15, 27 October 2022

GAFit

We have developed a software package based on a genetic algorithm that fits an analytic function to a given set of data points. The code, called GAFit, was also interfaced with the CHARMM and MOPAC programs in order to facilitate force field parameterizations and fittings of specific reaction parameters (SRP) for semiempirical Hamiltonians.

It may be applied to a wide range of fitting problems, though it has been especially designed to significantly reduce the hard work involved in the development of potential energy surfaces for complex systems. For this purpose, it has been equipped with several programs to help the user in the preparation of the input files.

We showcase the application of the computational tool to several chemical-relevant problems: force-field parameterization, with emphasis on nonbonded energy terms or intermolecular potentials, derivation of SRP for semiempirical Hamiltonians, and fittings of generic analytical functions[1].

The last version, 1.6b, introduces a new module named generic. This module's target is to interface a broad range of external programs with a litte effort from the user.

Downloads

Download the Simplified User Guide
The most recent version of the User Manual (1.6) can be donwloaded here
The most recent version of GAFit (1.6c) can be downloaded here

Authors

Roberto Rodriguez-Fernandez, Francisco Baptista Pereira, Jorge M. C. Marques , Saulo Vázquez-Rodríguez, Emilio Martínez-Núñez

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