2021
DOI: 10.1063/5.0020975
|View full text |Cite
|
Sign up to set email alerts
|

Frequency domain analysis of 3ω-scanning thermal microscope probe—Application to tip/surface thermal interface measurements in vacuum environment

Abstract: Material thermal properties characterization at nanoscales remains a challenge even if progresses were done in developing specific characterization techniques like the Scanning Thermal Microscopy (SThM). In the present work, we propose a detailed procedure based on the combined use of a SThM probe characterization and its Finite Element Modelling (FEM) to recover inoperando 3 measurements achieved under high vacuum. This approach is based on a two-step methodology: (i) a fine description of the probe's electr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
12
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(13 citation statements)
references
References 47 publications
1
12
0
Order By: Relevance
“…[52] Apparently, with the boundary resistance dominating, we have to include in the analysis of the maps the possible variation of the boundary resistance b th R between materials. Indeed, Small Methods 2023, 7,2201516 the data of Table 1 become consistent with expectations if we introduce into the analysis the material-dependent interface thermal resistance i th ρ . For that, we set k ZrO2 = 6.5 W m −1 K −1 with a contact-sample thermal radius of r = 50 nm as was determined multiple times for the KNT probes [26,27,32] (keeping in mind that this size can change as a result of the sampleprobe interaction in the course of the probe usage) and evaluate the difference between bs th R for the inclusion and matrix, 1 for the DC ZnAlOZrO map, we find that the data can be explained by a larger i th ρ for zirconia inclusions with a difference i th ρ ∆ = (3.1 ± 1.6) × 10 −8 K m 2 W −1 relative to the ZnO matrix (which yields an about order of magnitude larger variation of the contact resistance than due to the spreading resistance of the materials).…”
Section: Analysis Of the Local Thermal Conductivities In The Composit...supporting
confidence: 76%
See 4 more Smart Citations
“…[52] Apparently, with the boundary resistance dominating, we have to include in the analysis of the maps the possible variation of the boundary resistance b th R between materials. Indeed, Small Methods 2023, 7,2201516 the data of Table 1 become consistent with expectations if we introduce into the analysis the material-dependent interface thermal resistance i th ρ . For that, we set k ZrO2 = 6.5 W m −1 K −1 with a contact-sample thermal radius of r = 50 nm as was determined multiple times for the KNT probes [26,27,32] (keeping in mind that this size can change as a result of the sampleprobe interaction in the course of the probe usage) and evaluate the difference between bs th R for the inclusion and matrix, 1 for the DC ZnAlOZrO map, we find that the data can be explained by a larger i th ρ for zirconia inclusions with a difference i th ρ ∆ = (3.1 ± 1.6) × 10 −8 K m 2 W −1 relative to the ZnO matrix (which yields an about order of magnitude larger variation of the contact resistance than due to the spreading resistance of the materials).…”
Section: Analysis Of the Local Thermal Conductivities In The Composit...supporting
confidence: 76%
“…The KNT resistive probes are widely used for SThM, and different aspects of their static and dynamic behavior have been addressed in a number of reports with experimental and numerical methods. [4,7,12,21,[25][26][27][28] The measurements can be quantitative, [2][3][4] and the typical approach to quantification of the sample thermal properties can be illustrated with a simplified lumped-element equivalent electrical circuit shown in Figure 2b. We conduct experiments in a vacuum at a pressure of about 10 −3 Torr, when the heat transfer between the probe and environment by air can be neglected.…”
Section: Sthm Measurement Principlementioning
confidence: 99%
See 3 more Smart Citations