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Chipmakers are using more and different traditional tool types than ever to find killer defects in advanced chips, but they are also turning to complementary solutions like advanced forms of machine ...
Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...
Machine learning (ML) has emerged as a powerful tool for studying the properties of condensed matter. To date, most research has focused on the bulk properties of solids, however, defects are ...
The common engineering ceramic materials can be identified as Aluminium Oxide (Alumina), Silicon Carbide, Silicon Nitride, Sialon and Zirconia. These materials are classified as “Engineering” or ...
Turning Inc. consists of (left to right) Beth Hostetler, Toby Miller, Nick Miller, Ronnie Blackwell and Brad Coleman. Turning Inc. has not had a customer return a defective part in more than ten years ...
For the first time, researchers at the Lawrence Berkeley National Laboratory (Berkeley Lab) have built and trained machine learning algorithms to predict defect behavior in certain intermetallic ...
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