The quantitative analysis of dislocation-type defects in irradiated materials is critical to materials characterization in the nuclear energy industry. The conventional approach of an instrument ...
The intelligent design of materials with predetermined properties is the central agenda for modern materials science. To this end, multiple materials genome projects have been established.
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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 ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered state, it can form stable imperfections known as ...
When we talk about defects, we generally think of flaws or impairments. However, as far as materials science is concerned, defects represent windows of opportunity. A new Collaborative Research Center ...
Two-dimensional (2D) materials show great promise for photocatalysis, a key technology for sustainable energy solutions like water splitting. However, optimizing their performance requires precise ...
SEMVision™ H20 enables better and faster analysis of nanoscale defects in leading-edge chips Second-generation “cold field emission” technology provides high-resolution imaging AI image recognition ...
A recent review article published in Advanced Materials explored the potential of artificial intelligence (AI) and machine learning (ML) in transforming thermoelectric (TE) materials design. The ...
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