Keynote Presentations

L. Jay Guo, The University of Michigan, USA


Nanoimprint Lithography was originally developed to address the needs to fabricate high density magnetic storage and nanoelectronic circuitry, and can pattern feature size beyond the light diffraction limit in the UV photolithography. The extreme-low defectivity requirement of these applications has presented great challenges for the deployment of the technology, even with the demonstration of single digit nm resolution over a decade ago. On the other hand, many other applications that require the nanoscale features can benefit from such high-throughput and potentially low-cost patterning technology. Indeed Nanoimprinting has been applied in many nanoscale engineered devices; applications include displays, organic electronics, photovoltaics, optical films, and optoelectronics; and in some cases, direct imprinting of functional polymeric devices.
For many applications, large area patterning is highly desirable, which motivated the development of even higher throughput roll-to-roll nanoimprint (R2RNIL) technique, as well as other roll-based patterning processes. To enable a cost-effective process, the nanoimprint mold should be made from durable materials; and the resist materials for R2RNIL should offer scalability in production, e.g. can be based on cationic polymerization that is not affected by oxygen inhibition. Further development in this area and combination of different approaches will likely push the technology towards many important applications. But several technical challenges need to be addressed, e.g. in-line metrology and feedback; web tension, dimension and distortion control; fast filling of resist materials into mold patterns; and methods for multi-layer registration and alignment. These also present opportunities to further advance the R2RNIL technology for real-world manufacturing.


L. Jay Guo head shotL. Jay Guo started his academic career at the University of Michigan in 1999, and has been a professor of Electrical Engineering and Computer Science since 2011, with joint appointment in Applied Physics, Mechanical Engineering, Macomolecular Science and Engineering. He has > 200 refereed journal publications with over 22,000 citations, and close to 20 US patents. Many published work from his lab have been featured by numerous media. He is the recipient of the Research Excellence Award from the College of Engineering, and Outstanding Achievement Award in EECS at the University of Michigan. His group’s researches include polymer-based photonic devices and sensor applications, hybrid photovoltaics, plasmonic nanophotonics, nanoimprintbased and roll to roll nanomanufacturing technologies.


Prabhakar R. Pagilla, Texas A&M University, USA


Historically, empirical and analytical methods were developed in web handling to address specific engineering problems. Manufacturing improvements resulting from technological advances in machines and processes have been the key drivers for existing product improvements as well as new product developments. The science of roll-to-roll manufacturing has not evolved to the extent required to address the challenges in traditional and emerging applications. Roll-to-roll manufacturing as a key manufacturing science has been overlooked. Emergence of recent research activities in roll-to-roll manufacturing of flexible and printed electronics offers hope that this trend will change.
This talk will provide an overview of historical development of basic ideas of web transport modeling and control with an emphasis on longitudinal modeling and control. Current research will be discussed with a focus on issues that are central to both traditional as well as emerging applications. The talk will highlight the close interplay between the accuracy of transport/process models and the ability with which one can develop intelligent control systems to control transport and process variables. The talk will end with a discussion of some future directions in advanced roll-to-roll manufacturing.


Pagilla head shotPrabhakar R. Pagilla is currently the James J. Cain II Professor in the Department of Mechanical Engineering at Texas A&M University. He received the Ph.D. degree in Mechanical Engineering from the University of California, Berkeley, in May 1996. Prior to joining Texas A&M University in August 2015, he spent 19 years at Oklahoma State University as a faculty member in the School of Mechanical and Aerospace Engineering and as a researcher in the Web Handling Research Center. His formal background is in dynamic systems and control with applications in manufacturing and robotics. His current research interests lie in modeling and control of roll-to-roll manufacturing systems, robotics, and control of large-scale nonlinear dynamic systems. His teaching and research recognitions include a Regents Distinguished Research Award in 2012, Halliburton Outstanding Faculty Awards in 2002 and 2010, and an NSF CAREER Award in 2000. He served as a Technical Editor of the IEEE/ASME Transactions on Mechatronics and as an Associate Editor of the ASME Journal of Dynamic Systems, Measurement, and Control. He is a fellow of ASME and a member of SME and IEEE.