The current era of semiconductor research is heavily dependent on the incorporation of new materials into structures measured in nanometers. For the next decade, these trends are expected to continue and will suffice to improve the traditional metrics of performance-power and costs. Nevertheless there are inflection points coming, both for technology and for products which will require advanced research to deliver solutions in time. Traditional computation is morphing and novel technologies under investigation will require a more interdisciplinary approach. There are many choices to be made but a rich future lies ahead of us.
Michael C. Mayberry is director of Components Research which is the research arm for the Technology and Manufacturing Group of Intel. He is responsible for ongoing research to enable future process options for Intel's technology development organizations. This scope includes internal research, external university research, and other external collaborations.
Since joining Intel in 1984 as a process integration engineer, Mayberry has held a variety of positions. As part of the California Technology Development team, he developed EPROM, flash and logic wafer fabrication processes. In 1994 he moved to Sort Test Technology Development, most recently as director, responsible for roadmaps and development of test processes for Intel microprocessors. In 2005, he moved to Components Research.
Mayberry received his Ph.D. in physical chemistry from the University of California, Berkeley in 1983 and his bachelor's degree in chemistry and mathematics from Midland College in 1978.
The current era of semiconductor research is heavily dependent on the incorporation of new materials into structures measured in nanometers. For the next decade, these trends are expected to continue and will suffice to improve the traditional metrics of performance-power and costs. Nevertheless there are inflection points coming, both for technology and for products which will require advanced research to deliver solutions in time. Traditional computation is morphing and novel technologies under investigation will require a more interdisciplinary approach. There are many choices to be made but a rich future lies ahead of us.