Asymmetries in wafer map defects are usually treated as random production hardware defects. For example, asymmetric wafer defects can be caused by particles inadvertently deposited on a wafer during ...

Partially defective, marginal die can still be functional enough to pass final electrical test. Some of these “walking wounded” chips get past final testing, but in the customer’s end product, under ...

Semiconductor process engineers have always understood the need to inspect silicon wafers to identify defects and eliminate them at their source. To simplify the process, semiconductor equipment ...

Scan diagnosis is an established method for identifying and locating semiconductor defects on devices that fail manufacturing test and on field returns. Effectively selecting the right devices for ...

Defect inspection scientists from Huazhong University of Science and Technology, Harbin Institute of Technology and The Chinese University of Hong Kong make a thorough review of new perspectives and ...

According to news reports, Samsung and TSMC are expected to enter 5nm process mass production in 2020. The competition in 5nm wafer yield and market share will be very intense. A brand new wafer ...

Numerous challenges have to be overcome during design and production of ICs below 90 nm. Manufacturing processes are still being characterized, and the interactions between the physical processes and ...

In addition to classifying signature defects by type (e.g., ring, radial, scratch, line, area and slip line), Klarity SSA can map signatures to pre-defined zones on the wafer to further refine ...

“Wafer mass metrology has become increasingly important as semiconductor processes have become more complex and sensitive,” said Microtronic CEO Reiner Fenske in making the announcement. “Today’s fabs ...

Diagnosis-driven yield analysis identifies the cause of systematic yield loss to speed yield ramp on new processes and improves yield on mature processes. Finding the root cause of yield loss is ...

To make the top-of-the-line chips for Apple's iPhone, such as the A14, or Nvidia's A100 series AI processors, with billions of transistors, it takes a factory that costs $16 billion to build and ...

WILMINGTON, Mass.--(BUSINESS WIRE)--Onto Innovation Inc. (NYSE: ONTO) (“Onto Innovation,” “Onto,” or the “Company”) today announced its first shipment of the Company’s Dragonfly ® G3 system with the ...