Q-rbsa: High-resolution 3d Ebsd Map Generation Using An Efficient Quaternion Transformer Network

A new deep learning framework, QRBSA, has been developed to efficiently generate high-resolution 3D EBSD maps from sparsely sectioned data. This method has been successfully applied to commercially relevant titanium alloys, showing promise for reducing the time and cost of collecting 3D microstructural information.