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For computer science people, I always use the yield on wafers as analogy to explain how hard it can be to nail an experiment right. Usually they understand dir
by Loic 3y ago
For computer science people, I always use the yield on wafers as analogy to explain how hard it can be to nail an experiment right.
Usually they understand directly because this is something they can easily relate to.
- eric-hu 3y agoFor those of us unfamiliar with the numbers, what do typical yields look like on silicon wafers?
- junofan 3y ago50–97% with 90% considered “good.”
- XorNot 3y agoIt's also worth contextualizing percentages. 90% still means 1 in every 10 parts fails.
- OJFord 3y agoIt's not always outright failure, but rather different performance binning.
- Chabsff 3y agoBut the performance binning is a direct result of careful design that goes out of its way to ensure that a subset of failures can still lead to a workable/binnable products. It's still a failure to produce a part that matches the full design.
- crote 3y agoIt really varies. Samsung 3nm had a yield rate well below 20% back in early 2022, and that's not unheard of while still in the development phase. To be economically viable the yield rates have to be around 80%, so mature nodes can be expected to be in that ballpark.
- deleted 3y ago[deleted]