Neural networks for fitting PES data distributions of asphaltene interaction

@article{Gasca2009NeuralNF,
  title={Neural networks for fitting PES data distributions of asphaltene interaction},
  author={Eduardo Gasca and Juan H. Pacheco and Fernando Alvarez},
  journal={2009 International Joint Conference on Neural Networks},
  year={2009},
  pages={946-952}
}
Neural networks methodology is a tool to get potential energy surface (PES) in cases where there is too much dispersion of data; hence, a binding energy fitting can be found with this methodology on asphaltene-asphaltene molecular interaction. A data distribution of intermolecular pair potential (UAA) interaction in a vacuum between two molecular… CONTINUE READING