Researchers have developed a new microscopy technique that maps material microstructure in three dimensions; results demonstrate that the conventional method for predicting materials' properties under ...
The primary issue in arc melting additive manufacturing is the high heat input, which results in stress and deformation, significantly affecting the microstructure. Factors such as temperature ...
A research team led by Dr. Se-Jong Kim and Dr. Juwon Na of the Materials Data Management Center in the Materials Digital Platform Division together with a research team led by Professor Seungchul Lee ...
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High-precision analysis of 2D materials microstructures achieved using electron microscopy and machine learning
A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: twist domains (areas where one atomic layer is slightly rotated relative ...
Schematic illustration of cathode microstructure evolution during charging. (a) Conventional heterogeneous composite cathode and (b) the proposed homogeneous cathode with efficient mixed conduction.
Researchers have invented a machine-learning based algorithm for quantitatively characterizing material microstructure in three dimensions and in real time. This algorithm applies to most structural ...
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