AI-Driven Fab Technology Co-Optimization
We have combined our expertise in semiconductor technologies with machine learning and data analysis to develop an artificial intelligence-based solution named Fab Technology Co-Optimization, or FTCO™, for wafer-level fabrication facilities. FTCO uses manufacturing data to perform statistical and physics-based machine learning software simulations to create a computer model or “digital twin” of a wafer that can be used to simulate the fabrication process. As a virtual representation of the manufacturing process and the wafer, this “digital twin” serves as a platform through which customers can run experiments and tests to understand the impact on the yield of a wafer due to variations in the parameters of the manufacturing process, predict the yield for further research on new products, and reduce the time to market for products, all without the need to run physical wafers, which can be time-consuming and expensive. We have partnered with Micron Technology, Inc. for the development of these modeling tools.
Read about Silvaco’s Expanded Partnership with Micron Technology
Read the SEMI interview with Silvaco’s CEO Dr. Babak Taheri.
AI-Driven FTCO Platform Flow Diagram
If you would like more information on Silvaco’s FTCO solution, please contact an FTCO expert.