would it not be better to make a larger step and go to directed self-assembly (DSA)? multi-patterning feels very incremental with some gains due to smaller feature size and some losses due to lower throughput
The EDA enablement of multi-patterning provides a path to maintain a path along Moore's law. The only hesitation has been cost. But what most people are ignoring is the fact that by the time they get an EUV system capable of the numbers they need it will probably cost more than multi-patterning with traditional steppers, and it may even need multi-patterning itself.
"Without EUV, Intel believes it will have to write as many as five immersion patterns on a chip which will take more time and money but is still economical." Hope it is true. But when litho rework rate boomed with strigent process requirements in triple and above patterning, process window and yield are impaced severely. It will be hard to see economic advantages in dimension shrinking. It is happening in current 22/20nm processes(double pattern) and getting worse for 14nm and beyond. That is the reason why Intel/Samsung/TSMC(even nVidia) are urging 450mm progress in parallel to lower down process cost. Tons of hurdles ahead, Go engineers.
Wow, that's quite a while back, if I read those papers, maybe I would have reconsidered joining this field, who knows ;-)
I guess saying scaling won't happen would be much riskier than saying a particular way of scaling won't happen.
This has been known for years @resistion...I attended IEDM conference 20 years ago where this issue was discussed ;-)...talks about slowing of the Murphy's law started shortly after "the law" was established...I remember limits at 1 micron level considered insurmountable ;-)...but it might be true this time around...litho is clearly a huge challenge...but not the only one...Kris
Something they should have known. So much more energy absorbed from a shorter wavelength photon into a smaller space, obviously higher energy density needs to be dissipated into a larger volume to avoid unwanted material changes.
In one form or another, multiple patterning becomes necessary.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.