Ann Steffora Mutschler, Semiconductor Engineering
...So how can data be combined in a statistically meaningful way, in order to reduce risk and uncertainty?
This is the world of Peter Qian, Chief Scientist at SmartUQ and professor in the Department of Statistics and the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison who explained there are basically two issues in the space I specifically asked about: thermal analysis in 3D packaging. “One is taking many data points from simulation, less points from physical. But when you take points from both forces, you should be very careful because at the end of the day, you want to align simulation with testing and if we are only taking those data points randomly, nothing is going to happen. How can we collect good data sets and crunch numbers — how can we use simulation results that represents the underlying physics? Moreover, how can we use the underlying physical parameters to tune the simulation? At the end of the day, you want to tune the simulation more by using information from the physical process sets. This is the whole idea of statistical calibration.”...Read more here.