2022
DOI: 10.1016/j.xcrp.2022.100786
|View full text |Cite
|
Sign up to set email alerts
|

Transforming 3D-printed mesostructures into multimodal sensors with nanoscale conductive metal oxides

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
29
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

4
2

Authors

Journals

citations
Cited by 15 publications
(29 citation statements)
references
References 56 publications
0
29
0
Order By: Relevance
“…Note: The deposition rate can vary slightly for different ALD machines or as a precursor is used and the vapor pressure decreases. The total number of cycles ( Figure 3 D), the deposition temperature, and the precursors can be modified to achieve the desired conductivity of the material, see Huddy et al. (2022) .…”
Section: Step-by-step Methods Detailsmentioning
confidence: 99%
See 4 more Smart Citations
“…Note: The deposition rate can vary slightly for different ALD machines or as a precursor is used and the vapor pressure decreases. The total number of cycles ( Figure 3 D), the deposition temperature, and the precursors can be modified to achieve the desired conductivity of the material, see Huddy et al. (2022) .…”
Section: Step-by-step Methods Detailsmentioning
confidence: 99%
“…
Figure 4 Metal electrode deposition and imaging of 3D-printed mesostructures (A–D) 3D-printed mesostructured (A) masked for electrode deposition, (B) in the gold sputterer, (C) masked after electrode deposition, and (D) unmasked after electrode deposition. (E–G) SEM images of 3D-printed mesostructures with scale bars of 1 mm (E and F) and 100 μm (G), reproduced with permission from Huddy et al (2022) . SEM images show samples masked with thinner channels to emphasize contrast between sputtered and non-sputtered regions.
…”
Section: Step-by-step Methods Detailsmentioning
confidence: 99%
See 3 more Smart Citations