no code implementations • 19 Mar 2023 • Devendra K. Jangid, Neal R. Brodnik, McLean P. Echlin, Tresa M. Pollock, Samantha H. Daly, B. S. Manjunath
Our framework uses a quaternion residual block self-attention network (QRBSA) to generate high-resolution 3D EBSD maps from sparsely sectioned EBSD maps.
no code implementations • 27 Jul 2020 • Devendra K. Jangid, Neal R. Brodnik, Amil Khan, McLean P. Echlin, Tresa M. Pollock, Sam Daly, B. S. Manjunath
In the field of computer vision, unsupervised learning for 2D object generation has advanced rapidly in the past few years.
1 code implementation • 7 Mar 2019 • Marie-Agathe Charpagne, Florian Strub, Tresa M. Pollock
This function is then applied to un-distort the EBSD data, and the phase information is inferred using the data of the segmented speckle.
1 code implementation • 7 Mar 2019 • Florian Strub, Marie-Agathe Charpagne, Tresa M. Pollock
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.