Vertical and Lateral Copper Transport through Graphene Layers
Source abstract
Abstract
A different mechanism was found for Cu transport through multi-transferred single-layer graphene serving as diffusion barriers on the basis of time-dependent dielectric breakdown tests. Vertical and lateral transport of Cu dominates at different stress electric field regimes. The classic E-model was modified to project quantitatively the effectiveness of the graphene Cu diffusion barrier at low electric field based on high-field accelerated stress data. The results are compared to industry-standard Cu diffusion barrier material TaN. 3.5 Å single-layer graphene shows the mean time-to-fail comparable to 4 nm TaN, while two-time and three-time transferred single-layer graphene stacks give 2× and 3× improvements, respectively, compared to single-layer graphene at a 0.5 MV/cm electric field. The influences of graphene grain boundaries on Cu vertical transport through the graphene layers are explored, revealing that large-grain (10-15 μm) single-layer graphene gives a 2 orders of magnitude longer lifetime than small-grain (2-3 μm) graphene. As a result, it is more effective to further enhance graphene barrier reliability by improving single-layer graphene quality through increasing grain sizes or using single-crystalline graphene than just by increasing thickness through multi-transfer. These results may also be applied for graphene as barriers for other metals.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Graphene research and applications · Copper Interconnects and Reliability · Low-power high-performance VLSI design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
Department of Materials Science and Engineering, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States
Funding
Division of Civil, Mechanical and Manufacturing Innovation · Defense Advanced Research Projects Agency · Taiwan Semiconductor Manufacturing Company
References (37)
Show source-provided references
1. 10.1109/IEDM.2013.672454010.1109/IEDM.2013.6724540 ↗
2. ITRS. http://www.itrs.net/.
3. 10.1109/IITC.2008.454696810.1109/IITC.2008.4546968 ↗
4. 10.1109/IITC.2005.149997510.1109/IITC.2005.1499975 ↗
5. 10.1063/1.296398410.1063/1.2963984 ↗
6. 10.1149/1.192492910.1149/1.1924929 ↗
7. 10.1021/nl801457b10.1021/nl801457b ↗
8. 10.1021/nn103028d10.1021/nn103028d ↗
9. 10.1103/PhysRevLett.100.01660210.1103/PhysRevLett.100.016602 ↗
10. 10.1109/LED.2009.202018210.1109/LED.2009.2020182 ↗
11. Li, L.; Chen, X.Y.; Wang, C.H.; Lee, S.; Cao, J.; Singha Roy, S.; Arnold, M. S.; Wong, H.S. P.Cu Diffusion Barrier: Graphene Benchmarked to TaN for Ultimate Interconnect Scaling.Symp. VLSI Technol., Dig. Technol. Pap. 2015, in press10.1109/VLSIT.2015.7223713 ↗
12. 10.1021/nl504889t10.1021/nl504889t ↗
13. 10.1021/nn405945610.1021/nn4059456 ↗
14. 10.1021/nl073187210.1021/nl0731872 ↗
15. 10.1063/1.486685710.1063/1.4866857 ↗
16. 10.1039/c3nr06771h10.1039/c3nr06771h ↗
17. 10.1021/nn505498710.1021/nn5054987 ↗
18. 10.1039/C3NR03849A10.1039/C3NR03849A ↗
19. 10.1063/1.36821710.1063/1.368217 ↗
20. 10.1109/IITC.2009.509038910.1109/IITC.2009.5090389 ↗
21. 10.1103/PhysRevLett.97.18740110.1103/PhysRevLett.97.187401 ↗
22. 10.1016/j.carbon.2008.06.02210.1016/j.carbon.2008.06.022 ↗
23. 10.1021/nl902515k10.1021/nl902515k ↗
24. Hazewinkel M. · 2001
25. 10.1109/IEDM.1998.74631010.1109/IEDM.1998.746310 ↗
26. 10.1109/RELPHY.2006.25126610.1109/RELPHY.2006.251266 ↗
27. 10.1109/RELPHY.2006.25119010.1109/RELPHY.2006.251190 ↗
28. 10.1016/j.microrel.2012.06.00710.1016/j.microrel.2012.06.007 ↗
29. He M. · 2012 · 15710.1007/978-1-4614-1812-2 ↗
30. 10.3390/ma509160210.3390/ma5091602 ↗
31. 10.1063/1.131836910.1063/1.1318369 ↗
32. 10.1002/adfm.20120317910.1002/adfm.201203179 ↗
33. Lee J. H. · Science · 2014 · 344 · 28610.1126/science.1252268 ↗
34. 10.1147/rd.425.056710.1147/rd.425.0567 ↗
35. 10.1021/nn203377t10.1021/nn203377t ↗
36. Graphene Supermarket.https://graphene-supermarket.com/.
37. Evans Analytical Group. http://www.eaglabs.com/evaluate.htm?job=C0ELZ023.