Publications (14) Publications in which a researcher has participated

filter_list General Chemistry

2023

  1. Corrosion Behaviour Modelling Using Artificial Neural Networks: A Case Study in Biogas Environment

    Metals, Vol. 13, Núm. 11

2020

  1. The use of artificial neural networks for modelling pitting corrosion behaviour of en 1.4404 stainless steel in marine environment: Data analysis and new developments

    Corrosion Reviews, Vol. 38, Núm. 4, pp. 339-353

2019

  1. A support vector machine-based ensemble algorithm for pitting corrosion modeling of EN 1.4404 stainless steel in sodium chloride solutions

    Materials and Corrosion, Vol. 70, Núm. 1, pp. 19-27

2017

  1. Prediction of pitting corrosion status of EN 1.4404 stainless steel by using a 2-stage procedure based on support vector machines

    Journal of Chemometrics, Vol. 31, Núm. 12

2016

  1. A two-stage model based on artificial neural networks to determine pitting corrosion status of 316L stainless steel

    Corrosion Reviews, Vol. 34, Núm. 1-2, pp. 113-125

2015

  1. Characterization of pitting corrosion of stainless steel using artificial neural networks

    Materials and Corrosion, Vol. 66, Núm. 10, pp. 1084-1091

  2. Pitting corrosion behaviour modelling of stainless steel with support vector machines

    Materials and Corrosion, Vol. 66, Núm. 9, pp. 915-924

2014

  1. A comprehensive approach based on SVM to model pitting corrosion behaviour of en 1.4404 stainless steel

    Materials and Corrosion, Vol. 65, Núm. 10, pp. 1024-1032

  2. An automatic pitting corrosion detection approach for 316L stainless steel

    Materials and Design, Vol. 56, pp. 642-648

  3. Breakdown potential modelling of austenitic stainless steel

    Journal of Chemometrics, Vol. 28, Núm. 3, pp. 181-191

  4. Pitting potential modelling of en 1.4404 stainless steel

    Materials and Corrosion, Vol. 65, Núm. 9, pp. 881-890

2013

  1. Pitting potential modeling using Bayesian neural networks

    Electrochemistry Communications, Vol. 35, pp. 30-33

2012

  1. Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques

    Journal of Applied Logic

  2. Pitting corrosion detection of austenitic stainless steel EN 1.4404 in MgCl2 solutions using a machine learning approach

    AIP Conference Proceedings