papers
Publications (2)
physics.data-an2021
A deep learned nanowire segmentation model using synthetic data augmentation
Binbin Lin, Nima Emami, David A Santos +3
Automatized object identification and feature analysis of experimental image data are indispensable for data-driven material science; deep-learning-based segmentation algorithms ha…
cs.LG2022
AI enhanced finite element multiscale modelling and structural uncertainty analysis of a functionally graded porous beam
Da Chen, Nima Emami, Shahed Rezaei +5
The local geometrical randomness of metal foams brings complexities to the performance prediction of porous structures. Although the relative density is commonly deemed as the key…