37 citations · 42 across the 5 of their papers we have counts for
5 papers
Prediction of microstructural representativity from a single image
Amir Dahari, Ronan Docherty, Steve Kench +1
In this study, we present a method for predicting the representativity of the phase fraction observed in a single image (2D or 3D) of a material. Traditional approaches often requi…
Two approaches to inpainting microstructure with deep convolutional generative adversarial networks
Isaac Squires, Samuel J. Cooper, Amir Dahari +1
Imaging is critical to the characterisation of materials. However, even with careful sample preparation and microscope calibration, imaging techniques are often prone to defects an…
MicroLib: A library of 3D microstructures generated from 2D micrographs using SliceGAN
Steve Kench, Isaac Squires, Amir Dahari +1
3D microstructural datasets are commonly used to define the geometrical domains used in finite element modelling. This has proven a useful tool for understanding how complex materi…
Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks
Amir Dahari, Steve Kench, Isaac Squires +1
Modelling the impact of a material's mesostructure on device level performance typically requires access to 3D image data containing all the relevant information to define the geom…
Hyperpaths
Amir Dahari, Nati Linial
Hypertrees are high-dimensional counterparts of graph theoretic trees. They have attracted a great deal of attention by various investigators. Here we introduce and study Hyperpath…