No abstract

No abstract

The leakage current characteristics of the cobalt silicided NMOS transistors with a junction depth of 800 Å have been studied. In order to minimize the junction leakage current, the thickness of the CoSi 2 layer should be controlled under 300 Å and the Si surface damage induced by the gate spacer etch should be minimized. The post furnace annealing after the second silicidation by the rapid thermal annealing (RTA) process also affected the leakage current characteristics. The gate induced drain leakage (GIDL) current was not affected by the lateral encroachment of CoSi 2 layer into the channel direction when the gate spacer length was larger than 400 Å.

As semiconductor process technology scales down to sub 30nm process node and beyond dimensions, the printability and process window of the lithographic patterns are seriously reduced due to the fundamental limit of the lithography and process variations. In this paper, we introduce a various analysis methodology of pattern variability for higher device performance using with applications of DBV (Design Based Verification). Pattern variability is affected by both pattern process margins and electrical margins such as distribution of gate length. Even if post lithography verification would carry out after model based OPC, Pattern variability is increased not only unpredictable OPC hotspots but also unanticipated hotspots by AEI loading skew in full-chip. Secondly, electrical hotspots which are extracted by tail distributions of gate length are not always reliable enough to represent critical path with gate length of full-chip. We constructed New OCV extraction flow with a full-chip pattern classification that is required for both gate distribution accuracy and analysis of gate tail patterns. In this report, we investigated about the relationship between a pattern feature and pattern distribution of transistor length.

No abstract