Robust conductivity of goldene against structural defects and mechanical deformations: a first-principles study
Source abstract
Abstract
A key challenge in flexible electronics is identifying materials that maintain high electrical conductivity under mechanical deformations. Low-dimensional materials like graphene offer substantial benefits due to their mechanical robustness and high conductivity. However, their electrical performance is significantly compromised by mechanical stresses and structural defects such as vacancies and dislocations. Here, we study the effects of structural defects and mechanical deformations on the electronic transport properties of goldene, a single-layer of hexagonally arranged gold atoms, to explore its potential for flexible electronics. Our quantum transport calculations reveal that goldene maintains its conductivity effectively, exhibiting only a 1.7% reduction in conductance under a tensile strain of 5%. Additionally, the introduction of single-vacancy and divacancy defects results in conductance reductions of only 2% and 3%, respectively. Most importantly, goldene’s conductivity remains robust under both bending and twisting, distinguishing it from graphene and positioning it as an outstanding candidate for flexible nanoelectronics.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Graphene research and applications · 2D Materials and Applications · Molecular Junctions and Nanostructures
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (39)
Show source-provided references
1. Kim, D.-H. et al. Epidermal electronics. Science 333, 838–843 (2011).10.1126/science.1206157 ↗
2. Norton, J. J. S. et al. Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface. PNAS 112, 3920–3925 (2015).10.1073/pnas.1424875112 ↗
3. Jeong, S. et al. Printable, stretchable metal-vapor-desorption layers for high-fidelity patterning in soft, freeform electronics. Nat. Commun. 15, 7209 (2024).10.1038/s41467-024-51585-2 ↗
4. Akinwande, D. et al. A review on mechanics and mechanical properties of 2D materials—Graphene and beyond. Extrem. Mech. Lett. 13, 42–77 (2017).10.1016/j.eml.2017.01.008 ↗
5. Novoselov, K. S. et al. Electric field effect in atomically thin carbon films. Science 306, 666 (2004).10.1126/science.1102896 ↗
6. Geim, A. K. & Novoselov, K. S. The rise of graphene. Nat. Mater. 6, 183 (2007).10.1038/nmat1849 ↗
7. Geim, A. K. Graphene: Status and prospects. Science 324, 1530–1534 (2009).10.1126/science.1158877 ↗
8. Castro Neto, A. H. et al. The electronic properties of graphene. Rev. Mod. Phys. 81, 109 (2009).10.1103/RevModPhys.81.109 ↗
9. Novoselov, K. S. et al. A roadmap for graphene. Nature 490, 192 (2012).10.1038/nature11458 ↗
10. Sun, D.-M. et al. Thin-film transistors: A review of carbon nanotube- and graphene-based flexible thin-film transistors. Small 9, 1188–1205 (2013).10.1002/smll.201203154 ↗
11. Jang, H. et al. Graphene-based flexible and stretchable electronics. Adv. Mater. 28, 4184–4202 (2016).10.1002/adma.201504245 ↗
12. Han, T.-H. et al. Graphene-based flexible electronic devices. Mater. Sci. Eng. R. 118, 1–43 (2017).10.1016/j.mser.2017.05.001 ↗
13. Wang, H. et al. Laser-induced graphene-based flexible electronic devices. Biosensors 12, 55 (2022).10.3390/bios12020055 ↗
14. Sharma, B. K. & Ahn, J.-H. Graphene-based field-effect transistors: Efforts toward flexible electronics. Solid-State Electron. 89, 177–188 (2013).10.1016/j.sse.2013.08.007 ↗
15. Gass, M. H. et al. Free-standing graphene at atomic resolution. Nat. Nanotechnol. 3, 676–681 (2008).10.1038/nnano.2008.280 ↗
16. Meyer, J. C. et al. Direct imaging of lattice atoms and topological defects in graphene membranes. Nano Lett. 8, 3582–3586 (2008).10.1021/nl801386m ↗
17. Eckmann, A. et al. Probing the nature of defects in graphene by Raman spectroscopy. Nano Lett. 12, 3925–3930 (2012).10.1021/nl300901a ↗
18. Hashimoto, A. et al. Direct evidence for atomic defects in graphene layers. Nature 430, 870 (2004).10.1038/nature02817 ↗
19. Banhart, F. et al. Structural defects in graphene. ACS Nano 5, 26–39 (2011).10.1021/nn102598m ↗
20. Telling, R. H. & Heggie, M. I. Radiation defects in graphite. Philos. Mag. 87, 4797–4846 (2007).10.1080/14786430701210023 ↗
21. Bissett, M. et al. Strain engineering the properties of graphene and other two-dimensional crystals. Phys. Chem. Chem. Phys. 16, 11124–11138 (2014).10.1039/C3CP55443K ↗
22. Si, C. et al. Strain engineering of graphene: A review. Nanoscale 8, 3207 (2016).10.1039/C5NR07755A ↗
23. Kashiwaya, S. et al. Synthesis of goldene comprising single-atom-layer gold. Nat. Synth. 3, 744–751 (2024).10.1038/s44160-024-00518-4 ↗
24. Zhao, L. et al. In situ observations of freestanding single-atom-thick gold nanoribbons suspended in graphene. Adv. Mater. Interfaces 7, 2000436 (2020).10.1002/admi.202000436 ↗
25. Forti, S. et al. Semiconductor to metal transition in two-dimensional gold and its van der Waals heterostructure with graphene. Nat. Commun. 11, 2236 (2020).10.1038/s41467-020-15683-1 ↗
26. Sharma, S. K. et al. Synthesis of self-assembled single atomic layer gold crystals—Goldene. ACS Appl. Mater. Interfaces 14, 54992–55003 (2022).10.1021/acsami.2c19743 ↗
27. Yang, L.-M. et al. Glitter in a 2D monolayer. Phys. Chem. Chem. Phys. 17, 26036 (2015).10.1039/C5CP04222D ↗
28. Zhao, S. et al. Electrical conductivity of goldene. Phys. Rev. B 110, 085111 (2024).10.1103/PhysRevB.110.085111 ↗
29. Mortazavi, B. Goldene: An anisotropic metallic monolayer with remarkable stability and rigidity and low lattice thermal conductivity. Materials 17, 2653 (2024).10.3390/ma17112653 ↗
30. Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865 (1996).10.1103/PhysRevLett.77.3865 ↗
31. Grimme, S. Semiempirical GGA-type density functional constructed with a long-range dispersion correction. J. Comput. Chem. 27, 1787–1799 (2006).10.1002/jcc.20495 ↗
32. Monkhorst, H. J. & Pack, J. D. Special points for Brillouin-zone integrations. Phys. Rev. B 13, 5188 (1976).10.1103/PhysRevB.13.5188 ↗
33. van Setten, M. J. et al. The Pseudodojo: Training and grading an 85-element optimized norm-conserving pseudopotential table. Comput. Phys. Commun. 226, 39–54 (2018).10.1016/j.cpc.2018.01.012 ↗
34. Brandbyge, M. et al. Density-functional method for nonequilibrium electron transport. Phys. Rev. B 65, 165401 (2002).10.1103/PhysRevB.65.165401 ↗
35. Smidstrup, S. et al. QuantumATK: An integrated platform of electronic and atomic-scale modelling tools. J. Phys.: Condens. Matter 32, 015901 (2020).
36. Smidstrup, S. et al. First-principles Green’s-function method for surface calculations. Phys. Rev. B 96, 195309 (2017).10.1103/PhysRevB.96.195309 ↗
37. Mortazavi, B. Machine-learning interatomic potentials for accelerating multiscale materials modeling. Adv. Energy Mater. 14, 403876 (2024).
38. Mortazavi, B., Zhuang, X. & Rabczuk, T. First-principles and machine-learning investigation of nanoporous carbon nitrides. Mater. Horiz. 10, D3MH00125C (2023).10.1039/D3MH00125C ↗
39. Mortazavi, B. et al. Multiscale modeling of mechanical properties in graphene/borophene heterostructures enabled by machine-learning potentials. Adv. Mater. 33, 2102807 (2021).10.1002/adma.202102807 ↗