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Miguel A. S. Matos
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Application of machine learning to predict the multiaxial strain-sensing response of CNT-polymer composites
MAS Matos, ST Pinho, VL Tagarielli
Carbon 146, 265-275, 2019
832019
Predictions of the electro-mechanical response of conductive CNT-polymer composites
MAS Matos, VL Tagarielli, PM Baiz-Villafranca, ST Pinho
Journal of the Mechanics and Physics of Solids 114, 84-96, 2018
672018
Predictions of the electrical conductivity of composites of polymers and carbon nanotubes by an artificial neural network
MAS Matos, ST Pinho, VL Tagarielli
Scripta Materialia 166, 117-121, 2019
492019
On the effect of electric field application during the curing process on the electrical conductivity of single-walled carbon nanotubes–epoxy composites
MVC Morais, AI Oliva-Avilés, MAS Matos, VL Tagarielli, ST Pinho, ...
Carbon 150, 153-167, 2019
322019
On the electrical conductivity of composites with a polymeric matrix and a non-uniform concentration of carbon nanotubes
MAS Matos, VL Tagarielli, ST Pinho
Composites Science and Technology 188, 108003, 2020
232020
Sizing Optimization for Industrial Applications
AAS Miguel, PM Matos, BW Claus
Proceeding of 11th World Congress on Structural and Multidisciplinary …, 2015
12*2015
Simulation of the Electromechanical Properties of Carbon Nanotube Polymer Nanocomposites for Strain Sensing
MAS MATOS, VL TAGARIELLI, ST PINHO
Proceedings of the American Society for Composites: Thirty-First Technical …, 2016
42016
Simulation of the electromechanical properties of carbon nanotube polymer composites
M Albuquerque da Silva Matos
Imperial College London, 2019
2019
SIMULATION OF THE ELECTROMECHANICAL REPSONSE OF SELF-SENSING CARBON NANOTUBE POLYMER NANOCOMPOSITES
MAS Matos, VL Tagarielli, ST Pinho
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Artikler 1–9