Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films
Chávez Ángel, Emigdio ![Identificador ORCID](/img/uab/orcid.ico)
(Institut Català de Nanociència i Nanotecnologia)
Ng, Ryan C. ![Identificador ORCID](/img/uab/orcid.ico)
(Institut Català de Nanociència i Nanotecnologia)
Sandell, Susanne ![Identificador ORCID](/img/uab/orcid.ico)
(Norwegian University of Science and Technology. Department of Structural Engineering)
He, Jianying ![Identificador ORCID](/img/uab/orcid.ico)
(Norwegian University of Science and Technology. Department of Structural Engineering)
Castro-Alvarez, Alejandro ![Identificador ORCID](/img/uab/orcid.ico)
(Universidad de La Frontera. Centro de Excelencia en Medicina Traslacional (Chile))
Sotomayor Torres, Clivia M. ![Identificador ORCID](/img/uab/orcid.ico)
(Institut Català de Nanociència i Nanotecnologia)
Kreuzer, Martin
(ALBA Laboratori de Llum de Sincrotró)
Fecha: |
2023 |
Resumen: |
The thermal imaging of surfaces with microscale spatial resolution over micro-sized areas remains a challenging and time-consuming task. Surface thermal imaging is a very important characterization tool in mechanical engineering, microelectronics, chemical process engineering, optics, microfluidics, and biochemistry processing, among others. Within the realm of electronic circuits, this technique has significant potential for investigating hot spots, power densities, and monitoring heat distributions in complementary metal-oxide-semiconductor (CMOS) platforms. We present a new technique for remote non-invasive, contactless thermal field mapping using synchrotron radiation-based Fourier-transform infrared microspectroscopy. We demonstrate a spatial resolution better than 10 um over areas on the order of 12,000 um measured in a polymeric thin film on top of CaF substrates. Thermal images were obtained from infrared spectra of poly(methyl methacrylate) thin films heated with a wire. The temperature dependence of the collected infrared spectra was analyzed via linear regression and machine learning algorithms, namely random forest and k-nearest neighbor algorithms. This approach speeds up signal analysis and allows for the generation of hyperspectral temperature maps. The results here highlight the potential of infrared absorbance to serve as a remote method for the quantitative determination of heat distribution, thermal properties, and the existence of hot spots, with implications in CMOS technologies and other electronic devices. |
Ayudas: |
European Commission 885689 Ministerio de Economía y Competitividad SEV-2017-0706 European Commission 897148
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Derechos: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. ![Creative Commons](/img/licenses/by.ico) |
Lengua: |
Anglès |
Documento: |
Article ; recerca ; Versió publicada |
Publicado en: |
Polymers, Vol. 15, Issue 3 (February 2023) , art. 536, ISSN 2073-4360 |
DOI: 10.3390/polym15030536
PMID: 36771835
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Registro creado el 2023-03-01, última modificación el 2023-03-04