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AI-based model measures atomic defects in materials
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during ...
The use of artificial intelligence has enabled researchers at the National Laboratory of the Rockies (NLR) to gain a greater understanding of two-dimensional (2D) materials that can be useful for ...
Researchers have discovered a novel way to manipulate defects in semiconductors. The study holds promising opportunities for novel forms of precision sensing, or the transfer of quantum information ...
Scientists have identified a new type of defect as the most common source of disorder in on-surface synthesized graphene nanoribbons, a novel class of carbon-based materials that may prove extremely ...
Description: Structures and interactions of point, line, and planar defects in solids, with emphasis on properties of defects. Generic basis of defect energies and interactions, with reference to ...
Researchers and industries have been using transmission electron microscopy (TEM) to study semiconductors' stacking and dislocation faults. This article considers the analysis of crystal structures.
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