Deep learning identifies transversely isotropic material properties using kinematics fields von Motamedi, Nikzad, Wannous, Hazem, Magnier, Vincent

Volltext

Towards the identification of the link between the contact roughness and the friction-induced vibration: Use of deep learning von Motamedi, Nikzad, Magnier, Vincent, Wannous, Hazem

Volltext

Vers la prédiction et la compréhension des effets tribologiques sur les performances systèmes par l'intelligence artificielle von Motamedi, Nikzad

Volltext bestellen

Mechanical properties of aluminum/SiNT nanocomposite von Motamedi, Mohsen, Mehrvar, Ali, Nikzad, Mohamadhossein

Volltext

Effect of different parameters on the heat transfer coefficient of silicon and carbon nanotubes von Motamedi, M., Safdari, E., Nikzad, M.

Volltext

Molecular Dynamics Simulation of Superalloys: A Review von Motamedi, M., Nikzad, M., Nasri, M.

Volltext

Statistical modelling and optimization of AL/CNT composite using response surface-desirability approach von Motamedi, M., Mehrvar, A., Nikzad, M.

Volltext

Enhancement of mechanical properties of Al-Cu alloy composite reinforced by Ni element: A combination of mixture design of experiment and artificial neural network approach von Nikzad, Mohammad Hossein, Motamedi, Mohsen, Nasri, Mohammad Reza

Volltext

Mixture design optimization and machine learning-based prediction of Al-Mg alloy composite reinforced by Zn nanoparticles: A molecular dynamics study von Motamedi, Mohsen, Nikzad, Mohammad Hossein, Nasri, Mohammad Reza

Volltext