When Semiconductor Materials Misbehave
Summary
The article explains that the lab results often do not predict production behavior in advanced semiconductor packaging due to complex multi-material interactions. It highlights simulation and data challenges, including proprietary material properties, and discusses how ML and digital twins are being used to bridge the gap, while warning about the limits of naive ML.