Electrical Conductivity of Copper‐Graphene (Cu‐Gr) Composites: The Underlying Mechanisms of Ultrahigh Conductivity
Source abstract
Abstract
ABSTRACT Copper‐graphene composite (CGC) conductors are widely considered as a potential alternative to pure copper (Cu). Yet, the effect of graphene (Gr) on the electrical conductivity of CGCs remains elusive, and their electrical performance is still controversial. This work addresses these unresolved questions by unambiguously quantifying how the electrical properties of CGCs depend on the characteristics of Gr and Cu. Gr is synthesized on Cu foils, foams, and wires by utilizing a wide range of chemical vapor deposition conditions to independently control their characteristics. Then the Gr‐enhanced electrical conductivity (Δσ) is characterized for CGCs with different Cu geometries and Gr qualities. This study confirms that unprecedented electrical conductivity (Δσ = 17.1%) can be achieved only when both Gr and Cu are carefully optimized. Specifically, the study reveals three key factors: (1) Δσ is positively correlated with continuity of Gr; (2) CGCs with a continuous monolayer Gr exhibit a strong Δσ − A s linear relation where A s is the specific surface area of a CGC; and (3) Δσ becomes more pronounced when a Cu matrix has a curved cross‐section. This work reveals the fundamental mechanisms of how Gr influences the overall electrical conductivity of CGCs and, therefore, is a crucial step toward designing and manufacturing high‐performance CGC conductors for emerging applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Nanomaterials and Printing Technologies · Electrodeposition and Electroless Coatings · Graphene research and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Materials Science and Engineering Fulton Schools of Engineering Arizona State University Tempe Arizona USA
Mechanical Engineering Fulton Schools of Engineering Arizona State University Tempe Arizona USA
School of Electrical Computer and Energy Engineering Arizona State University Tempe Arizona USA
Multifunctional Materials Branch (Code 6350) U.S. Naval Research Laboratory Washington District of Columbia USA
Funding
National Science Foundation · Office of Naval Research
References (54)
Show source-provided references
1. 10.1016/j.apenergy.2024.12315310.1016/j.apenergy.2024.123153 ↗
2. 10.1016/j.energy.2018.11.04610.1016/j.energy.2018.11.046 ↗
3. 10.1016/j.neucom.2024.12809610.1016/j.neucom.2024.128096 ↗
4. 10.1016/S0301‐4215(03)00182‐410.1016/S0301‐4215(03)00182‐4 ↗
5. 10.1126/science.110289610.1126/science.1102896 ↗
6. 10.1016/j.ssc.2008.02.02410.1016/j.ssc.2008.02.024 ↗
7. 10.1201/b1711810.1201/b17118 ↗
8. 10.1038/nnano.2008.5810.1038/nnano.2008.58 ↗
9. 10.1002/smll.20240324110.1002/smll.202403241 ↗
10. Advanced Electrical Conductors: An Overview and Prospects of Metal Nanocomposite and Nanocarbon Based Conductors10.1002/pssa.202000704 ↗
11. 10.1103/PhysRevLett.101.02680310.1103/PhysRevLett.101.026803 ↗
12. 10.1021/nl204123h10.1021/nl204123h ↗
13. 10.1016/j.carbon.2019.07.05110.1016/j.carbon.2019.07.051 ↗
14. 10.1016/j.carbon.2017.07.05310.1016/j.carbon.2017.07.053 ↗
15. 10.1002/adfm.20180679210.1002/adfm.201806792 ↗
16. 10.1002/adma.20210420810.1002/adma.202104208 ↗
17. 10.1016/j.carbon.2018.10.08810.1016/j.carbon.2018.10.088 ↗
18. 10.1002/adma.20130249510.1002/adma.201302495 ↗
19. 10.1021/nl902515k10.1021/nl902515k ↗
20. 10.1126/science.117124510.1126/science.1171245 ↗
21. 10.1021/nl204481s10.1021/nl204481s ↗
22. 10.1088/1367‐2630/14/9/09302810.1088/1367‐2630/14/9/093028 ↗
23. 10.1021/nn201978y10.1021/nn201978y ↗
24. 10.1103/PhysRevLett.106.12680210.1103/PhysRevLett.106.126802 ↗
25. 10.1002/smsc.20250040610.1002/smsc.202500406 ↗
26. 10.1021/nl504889t10.1021/nl504889t ↗
27. 10.1016/j.matchemphys.2018.12.02610.1016/j.matchemphys.2018.12.026 ↗
28. 10.1063/5.013708610.1063/5.0137086 ↗
29. 10.1016/j.commatsci.2024.11331410.1016/j.commatsci.2024.113314 ↗
30. 10.1002/adfm.20240756910.1002/adfm.202407569 ↗
31. 10.3390/ma1223384010.3390/ma12233840 ↗
32. 10.1002/adfm.20130173210.1002/adfm.201301732 ↗
33. 10.1021/nl201980p10.1021/nl201980p ↗
34. 10.1021/nn300896510.1021/nn3008965 ↗
35. 10.1103/PhysRevLett.97.18740110.1103/PhysRevLett.97.187401 ↗
36. 10.1016/j.physrep.2009.02.00310.1016/j.physrep.2009.02.003 ↗
37. 10.1016/j.matt.2021.08.01710.1016/j.matt.2021.08.017 ↗
38. 10.1016/j.carbon.2014.05.05010.1016/j.carbon.2014.05.050 ↗
39. 10.1021/nl303879k10.1021/nl303879k ↗
40. 10.1016/0021‐9797(78)90339‐910.1016/0021‐9797(78)90339‐9 ↗
41. 10.1016/0021‐9797(80)90139‐310.1016/0021‐9797(80)90139‐3 ↗
42. 10.1016/0301‐9322(83)90112‐X10.1016/0301‐9322(83)90112‐X ↗
43. 10.1002/adma.20190361510.1002/adma.201903615 ↗
44. V.Kumar S.Rakheja andA.Naeemi “Review of Multi‐Layer Graphene Nanoribbons for On‐Chip Interconnect Applications ” in2013 IEEE International Symposium on Electromagnetic Compatibility(2013IEEE):528–533 https://doi.org/10.1109/ISEMC.2013.6670470.10.1109/ISEMC.2013.6670470 ↗
45. 10.1002/(SICI)1096‐9918(199611)24:12<811::AID‐SIA191>3.0.CO;2‐Z10.1002/(SICI)1096‐9918(199611)24:12<811::AID‐SIA191>3.0.CO;2‐Z ↗
46. 10.1002/adfm.20221422010.1002/adfm.202214220 ↗
47. 10.1002/smll.20250324910.1002/smll.202503249 ↗
48. 10.1016/0378‐5963(82)90134‐910.1016/0378‐5963(82)90134‐9 ↗
49. 10.1186/s11671‐015‐0743‐410.1186/s11671‐015‐0743‐4 ↗
50. 10.1016/j.carbon.2015.02.07210.1016/j.carbon.2015.02.072 ↗
51. 10.1021/ja02242a00410.1021/ja02242a004 ↗
52. 10.1021/nl902623y10.1021/nl902623y ↗
53. 10.1016/j.carbon.2014.11.04010.1016/j.carbon.2014.11.040 ↗
54. 10.1557/JMR.2002.008910.1557/JMR.2002.0089 ↗