Characterizing percolative materials by straining
Source abstract
Abstract
Carrier transport in a wide range of nanomaterial assemblies proceeds by percolation through discontinuous networks of constituents. Improving percolative nanomaterials could enhance transparent conductors, sensors, and electronic devices. A significant obstacle in optimizing percolative materials is the challenge in their characterization. The critical connection pathways which determine a percolative material's conductivity are not easily accessible with existing metrology tools and traditional investigation approaches rely on indirect methods based on many samples and on simplifying assumptions. We here demonstrate the direct extraction of characteristic parameters from a single sample by analyzing the strain-dependent resistance of percolative materials. An analytical model is derived that can explain experimental data for various percolative materials, morphologies, and straining conditions. The relationship of the extracted parameters with previously introduced figures of merit allows us to compare nanostructures of diverse dimensionalities and compositions for applications such as strain gauges and transparent conductors.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Supercapacitor Materials and Fabrication · Conducting polymers and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical and Electronic Engineering
The University of Hong Kong
Hong Kong
Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology
Cambridge
USA
Institute for Atomic and Molecular Sciences
Academia Sinica
Taipei
Taiwan
Department of Physics
National Taiwan University
Funding
Ministry of Science and Technology, Taiwan · Academia Sinica
References (33)
Show source-provided references
1. Yu · Energy Environ. Sci. · 2015 · 8 · 70210.1039/C4EE03229B ↗
2. Jason · J. Mater. Chem. C · 2017 · 5 · 584510.1039/C7TC01169E ↗
3. Saito · Chem. Rev. · 2014 · 114 · 604010.1021/cr400341h ↗
4. Cao · ACS Nano · 2014 · 8 · 1276910.1021/nn505979j ↗
5. Mutiso · ACS Nano · 2013 · 7 · 765410.1021/nn403324t ↗
6. Kumar · J. Appl. Phys. · 2016 · 119 · 01510210.1063/1.4939280 ↗
7. Bauhofer · Compos. Sci. Technol. · 2009 · 69 · 148610.1016/j.compscitech.2008.06.018 ↗
8. De · ACS Nano · 2010 · 4 · 706410.1021/nn1025803 ↗
9. Nirmalraj · Nano Lett. · 2009 · 9 · 389010.1021/nl9020914 ↗
10. Chen · Adv. Funct. Mater. · 2016 · 26 · 506110.1002/adfm.201503674 ↗
11. Sorel · Nanotechnology · 2012 · 23 · 18520110.1088/0957-4484/23/18/185201 ↗
12. Ge · J. Electrost. · 2015 · 77 · 15710.1016/j.elstat.2015.08.008 ↗
13. Gupta · Adv. Funct. Mater. · 2014 · 24 · 452210.1002/adfm.201303775 ↗
14. Chen · Adv. Funct. Mater. · 2007 · 17 · 89810.1002/adfm.200600519 ↗
15. De · Small · 2010 · 6 · 45810.1002/smll.200901162 ↗
16. Lyons · J. Phys. Chem. Lett. · 2011 · 2 · 305810.1021/jz201401e ↗
17. McEvoy · Carbon · 2012 · 50 · 121610.1016/j.carbon.2011.10.036 ↗
18. D. Stauffer and A.Aharony , Introduction to percolation theory: revised second edition , CRC press , 201410.1201/9781315274386 ↗
19. Johner · Phys. Rev. B: Condens. Matter Mater. Phys. · 2008 · 77 · 17420410.1103/PhysRevB.77.174204 ↗
20. Toker · Phys. Rev. B: Condens. Matter Mater. Phys. · 2003 · 68 · 20410.1103/PhysRevB.68.041403 ↗
21. Nigro · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2012 · 85 · 01113710.1103/PhysRevE.85.011137 ↗
22. Vionnetmenot · Phys. Rev. B: Condens. Matter Mater. Phys. · 2005 · 71 · 06420110.1103/PhysRevB.71.064201 ↗
23. Ambrosetti · J. Appl. Phys. · 2009 · 106 · 95310.1063/1.3159040 ↗
24. Li · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2013 · 87 · 04281010.1103/PhysRevE.87.042810 ↗
25. Saberi · Phys. Rep. · 2015 · 578 · 110.1016/j.physrep.2015.03.003 ↗
26. Kanoun · Sensors · 2014 · 14 · 1004210.3390/s140610042 ↗
27. Hempel · Nano Lett. · 2012 · 12 · 571410.1021/nl302959a ↗
28. Hempel · Nano Lett. · 2012 · 12 · 571410.1021/nl302959a ↗
29. Mertens · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2012 · 86 · 06110910.1103/PhysRevE.86.061109 ↗
30. Stassi · Nanoscale Res. Lett. · 2012 · 7 · 110.1186/1556-276X-7-327 ↗
31. Stassi · Sensors · 2014 · 14 · 529610.3390/s140305296 ↗
32. Ponnamma · Phys. Chem. Chem. Phys. · 2015 · 17 · 395410.1039/C4CP04418E ↗
33. Pham · Composites, Part B · 2008 · 39 · 20910.1016/j.compositesb.2007.02.024 ↗