Photocatalytic materials harness solar radiation to drive chemical transformations, offering pathways to sustainable energy conversion and environmental remediation. Central to this approach is the ...
Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...
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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 AI model rapidly maps boundary conditions to molecular alignment and defect locations, replacing hours of simulation and enabling fast exploration and inverse design of advanced optical materials.
AI-guided material wrinkles could create low-cost micro- and nanoscale surface patterns for anti-counterfeiting and flexible electronics. (Nanowerk News) Surface wrinkles, folds, and dents are usually ...
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 ...
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