| Literature DB >> 35518434 |
Alborz Izadi1, Mayank Sinha1, Cameron Papson1, Sara Roccabianca1, Rebecca Anthony1.
Abstract
Thin layers of nanomaterials on stretchable substrates have the potential to enable stretchable, bendable optoelectronic devices, wearable diagnostics, and more. Recently, our group reported on a novel method for finding the neo-Hookean coefficient of thin layers of silicon nanocrystals (SiNCs) on polydimethylsiloxane (PDMS). Here we elaborate on that initial study by examining the effects of the SiNC layer thickness, PDMS neo-Hookean coefficient, and SiNC surface functionality on the neo-Hookean coefficient of the SiNC layers. We found that, while the layer thickness and PDMS neo-Hookean coefficient influence the behavior of the SiNC layers, layers of surface-functionalized SiNCs do not exhibit disparate behavior from layers of bare SiNCs. This journal is © The Royal Society of Chemistry.Entities:
Year: 2020 PMID: 35518434 PMCID: PMC9057323 DOI: 10.1039/d0ra06321e
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 4.036
Neo-Hookean coefficients of PDMS for different ratio of base to curing agent, α. Increasing the amount of base while keeping the same amount of curing agent can significantly decrease the mechanical modulus of PDMS
| Ratio of base to curing agent, | Neo-Hookean coefficient [kPa] |
|---|---|
| 10 | 191.9 ± 34.9 |
| 12 | 112.9 ± 43.4 |
| 20 | 69.8 ± 7.6 |
Fig. 1We performed SEM imaging of film cross-sections to estimate film thickness as a function of deposition time (error bars reflect std deviation).
Tabulated values of film thicknesses vs. deposition time, as measured using SEM imaging of film cross-sections
| Time (min) | Thickness (μm) |
|---|---|
| 5 | 1.24 ± 0.20 |
| 10 | 1.84 ± 0.23 |
| 20 | 4.56 ± 0.31 |
| 30 | 6.50 ± 0.76 |
Fig. 2Neo-Hookean coefficient of all samples. The samples with asterisks indicate sample conditions that led to neo-Hookean coefficients that deviated with statistical significance from samples reported in ref. 17 (α = 10, t = 460).
Fig. 3The methodology introduced in Sinha et al., 2019,[17] employed to estimate neo-Hookean coefficient for SiNC layers corresponding to parametric variation. The lines represent the numerical solution for the average of thickness ratios (t) for a given sample deposition time, and the symbols represent experimental data points. The shaded region shows an area of one standard deviation of the thickness ratio from average for the samples.