A technical paper titled “Improved Defect Detection and Classification Method for Advanced IC Nodes by Using Slicing Aided Hyper Inference with Refinement Strategy” was published by researchers at ...
Catching all defects in chip packaging is becoming more difficult, requiring a mix of electrical tests, metrology screening, and various types of inspection. And the more critical the application for ...
image: THE INTRODUCTION OF DEFECTS INTO ELECTRODE MATERIALS FOR METAL-BASED BATTERIES IS AN EFFECTIVE STRATEGY TO IMPROVE BATTERY PERFORMANCE, DUE TO DEFECTIVE CATALYSTS HAVE THE ADVANTAGES OF HIGH ...
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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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 ...
An international research team led by NYU Tandon School of Engineering and KAIST (Korea Advanced Institute of Science and Technology) has pioneered a new technique to identify and characterize ...
The growing demand for sustainable energy technologies has intensified research into advanced thin-film materials capable of delivering high performance ...
Defects can fundamentally alter the physiochemical, optical, thermal, mechanical, and electronic properties and their coupling in functional materials. Numerous possibilities exist for defect ...
To further shrink electronic devices and to lower energy consumption, the semiconductor industry is interested in using 2D materials, but manufacturers need a quick and accurate method for detecting ...
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