Miguel A.S. Matos

Application of machine learning to predict the multiaxial strain-sensing response of CNT-polymer composites

Miguel A.S. Matos, S.T. Pinho, Vito L. Tagarielli · Carbon · 2019 · 118 citations · Full text

Materials Science, Engineering, Machine Learning +10

Predictions of the electro-mechanical response of conductive CNT-polymer composites

Miguel A.S. Matos, Vito L. Tagarielli, Pedro M. Baiz-Villafranca et al. · Journal of the Mechanics and Physics of Solids · 2018 · 79 citations · Full text

Materials Science, Electroactive Material, Conducting Polymer +7

Predictions of the electrical conductivity of composites of polymers and carbon nanotubes by an artificial neural network

Miguel A.S. Matos, S.T. Pinho, Vito L. Tagarielli · Scripta Materialia · 2019 · 54 citations · Full text

Materials Science, Electroactive Material, Electrical Engineering +10

On the effect of electric field application during the curing process on the electrical conductivity of single-walled carbon nanotubes–epoxy composites

Manuel V. C. Morais, A.I. Oliva-Avilés, Miguel A.S. Matos et al. · Carbon · 2019 · 33 citations · Full text

Engineering, Mechanical Engineering, Nanostructured Polymer +19

On the electrical conductivity of composites with a polymeric matrix and a non-uniform concentration of carbon nanotubes

Miguel A.S. Matos, Vito L. Tagarielli, S.T. Pinho · Composites Science and Technology · 2020 · 29 citations

Materials Science, Conducting Polymer, Electrical Engineering +10