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 ...
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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 ...
A new model measures defects that can be leveraged to improve materials' mechanical strength, heat transfer, and ...
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.
Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, tiny “defects” emerge when symmetry breaks, shaping everything from cosmic ...
Emergence of anti-hyperuniform defect organization in active nematics. At high activity (left), topological defects are distributed nearly uniformly throughout the system. Reducing activity toward a ...
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