AI Models for Optimizing FHE Printing Aided by Ultrasound Metrology
Abstract
Printing Flexible and Hybrid Electronics involves both a layout and a wide range of process parameters, e.g., printer technology (e.g., ink jet or extrusion), print-head path, and so forth. Choice of layout and process parameters is complicated by the use of different inks (e.g., conductive or dielectric) and by variation of ink characteristics over time. An important part of the Cornell-Northeastern effort is to monitor ink properties using a GHz ultrasound transceiver array (https://geegah.com/) which enables real-time measurement of ink properties which can then be used in closed-loop feedback control systems.
Biography
Peter Doerschuk received BS, MS, and PhD degrees from MIT and an MD degree from Harvard Medical School. He was on the faculty at Purdue University for 16 years before moving to Cornell University (ECE and BME) in 2006. He is interested in a variety of signal and image understanding and mathematical modeling problems, including computing and exploiting Digital Twins of electronics fabrication processes from nanometer to millimeter scale in collaboration with Prof. Amit Lal (Cornell University) and Prof. Benyamin Davaji (Northeastern University).