Metal additive manufacturing has reached a level where products and components can be directly fabricated for applications requiring small batches customized designs, from tinny body implants to long pedestrian bridges over rivers. Wire-fed directed energy deposition based enables fabricating large parts in cost-effective way. However, achieving reliable mechanical properties, desired structura...

In this work, we examine the effect of surface structure on the heterogeneous nucleation of Pb crystals from the melt at a Cu substrate using molecular-dynamics (MD) simulation. In a previous work [Palafox-Hernandez et al., Acta Mater. 59, 3137 (2011)] studying the Cu/Pb solid-liquid interface with MD simulation, we observed that the structure of the Cu(111) and Cu(100) interfaces was significa...

The development of efficient computational models for the accurate prediction state variables in general composite laminated shells undergoing uniform edge loadings is a major challenge, especially when stress concentration phenomena such as free-edge effect have to be considered. This paper addresses this issue by introducing higher-order semi-analytical approach assessment three-dimensional f...

While the backpropagation of error algorithm enables deep neural network training, it implies (i) bidirectional synaptic weight transport and (ii) update locking until forward backward passes are completed. Not only do these constraints preclude biological plausibility, but they also hinder development low-cost adaptive smart sensors at edge, as severely constrain memory accesses entail bufferi...

This work deals with the modeling of plate structures constituted Functionally Graded Material through a variable separation approach. The displacement field is approximated as sum separated functions in-plane coordinates x, y and transverse coordinate z. choice yields to nonlinear problem that can be solved by an iterative process. Two 2D 1D linear problems are successively. In thickness direc...