From quartz sand to silicon wafers, the manufacturing process is critical for achieving the purity and quality needed for advanced semiconductor applications.

When contamination defects surface in advanced nodes, the root cause often spans tools, materials, and handling. This piece outlines how defect mapping, TEM, and SPC data converge to prove causation.

ChEmpower Corp., a semiconductor materials company that develops polishing pads and chemical solutions, today announced Chakra, its first product designed to improve efficiency, reduce costs and ...

Cycle time prediction is a critical process in semiconductor manufacturing, where it serves as an essential tool for optimising production schedules, reducing operational costs, and enhancing overall ...

Semiconductor manufacturing is the foundation for technologies ranging from smartphones and electric vehicles to artificial intelligence and cloud computing. The process demands extreme precision in ...

ASML's High-NA EUV tools reach production readiness milestone with 500K wafers processed. The $400M machines promise to ...

“We have 600 petabytes of data across Intel,” said Aziz Safa, corporate VP & GM Intel Foundry Automation at the recent PDF Solutions Users Conference. “The challenge is to be able to run algorithms on ...

Samsung Electronics, a global leader in semiconductor manufacturing, is making significant strides in advancing its production capabilities with plans for its 2nm and 1.0nm process nodes. As the ...

As the semiconductor industry moves to smaller scales, it must overcome several technical challenges. In 2025, we expect three key developments to make headlines: Gate-All-Around transistor designs, ...

Long and complex hiring cycles As compared to software hiring, semiconductor recruitment cannot rely on rapid technical ...