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 ...
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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 term molybdenum disulfide may sound familiar to some car drivers and mechanics. No wonder: the substance, discovered by U.S. chemist Alfred Sonntag in the 1940s, is still used today as a ...
Advancements in nanotechnology fabrication and characterization tools have facilitated a number of developments in the creation of new two-dimensional (2D) materials and gaining and understanding of ...
Scientists have discovered that a "single atomic defect" in a layered 2D material can hold onto quantum information for microseconds at room temperature, underscoring the potential of 2D materials in ...
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 ...
Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...
The third type of magnetism could prove the most useful of all—if researchers can identify the materials that exhibit it.
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