Fabrication Process

Fabrication processes are undergoing a revolution driven by the integration of advanced technologies like robotics, machine learning, and digital twins. Current research focuses on improving the speed, accuracy, and quality of additive manufacturing (AM) through real-time process monitoring (e.g., using deep image processing and spectroscopic ellipsometry), predictive modeling (e.g., employing LSTM networks and Bayesian optimization), and automated defect detection and correction. These advancements are significantly impacting various fields, enabling faster prototyping, improved product quality, and the creation of complex, multi-material structures for applications ranging from soft robotics to integrated photonics.