APCSM Conference at Austin, TX, October 10-13, 2022
SC Solutions was again a sponsor for the annual Advanced Process Control Smart Manufacturing (APCSM) Conference and gave an in-person presentation there on the application of Digital Twins technology to semiconductor wafer processing. The APCSM conference, which was...Physics-informed Machine Learning for Control – DNN in a Dynamic Feedback Loop
This Case Study describes an approach to combining physical principles with Machine Learning (ML) for modeling and control of complex systems. Our approach was developed as part of a DARPA-funded research project. It was applied to oil reservoir management. While this Case Study provides an overview, technical details may be found in a separate publication [1].