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Found 4 papers, 2 papers with code
Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm
This function is then applied to un-distort the EBSD data, and the phase information is inferred using the data of the segmented speckle.
Correction of Electron Back-scattered Diffraction datasets using an evolutionary algorithm
The quality of the reconstruction of the maps is critical to study the spatial distribution of phases and crystallographic orientation relationships between phases, a key interest in materials science.
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications
In the field of computer vision, unsupervised learning for 2D object generation has advanced rapidly in the past few years.
Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network
Our framework uses a quaternion residual block self-attention network (QRBSA) to generate high-resolution 3D EBSD maps from sparsely sectioned EBSD maps.
