Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films
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,...
| Autores: | , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/336068 |
| Acceso en línea: | http://hdl.handle.net/10261/336068 https://api.elsevier.com/content/abstract/scopus_id/85147939451 |
| Access Level: | acceso abierto |
| Palabra clave: | FTIR polymer FTIR thermometry Machine learning Synchrotron radiation Temperature dependence Thermal imaging |
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Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films |
| title |
Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films |
| spellingShingle |
Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films Chávez-Angel, Emigdio FTIR polymer FTIR thermometry Machine learning Synchrotron radiation Temperature dependence Thermal imaging |
| title_short |
Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films |
| title_full |
Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films |
| title_fullStr |
Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films |
| title_full_unstemmed |
Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films |
| title_sort |
Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films |
| dc.creator.none.fl_str_mv |
Chávez-Angel, Emigdio Ng, Ryan C. Sandell, Susanne He, Jianying Castro-Álvarez, Alejandro Sotomayor Torres, C. M. Kreuzer, Martin |
| author |
Chávez-Angel, Emigdio |
| author_facet |
Chávez-Angel, Emigdio Ng, Ryan C. Sandell, Susanne He, Jianying Castro-Álvarez, Alejandro Sotomayor Torres, C. M. Kreuzer, Martin |
| author_role |
author |
| author2 |
Ng, Ryan C. Sandell, Susanne He, Jianying Castro-Álvarez, Alejandro Sotomayor Torres, C. M. Kreuzer, Martin |
| author2_role |
author author author author author author |
| dc.contributor.none.fl_str_mv |
European Commission Generalitat de Catalunya Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) Research Council of Norway Fondo Nacional de Desarrollo Científico y Tecnológico (Chile) Chávez-Angel, Emigdio [0000-0002-9783-0806] Ng, Ryan C. [0000-0002-0527-9130] Sandell, Susanne [0000-0003-1906-6790] He, Jianying [0000-0001-8485-7893] Castro-Álvarez, Alejandro [0000-0001-8360-8027] Sotomayor Torres, C. M. [0000-0001-9986-2716] Kreuzer, Martin [0000-0002-7305-5016] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
FTIR polymer FTIR thermometry Machine learning Synchrotron radiation Temperature dependence Thermal imaging |
| topic |
FTIR polymer FTIR thermometry Machine learning Synchrotron radiation Temperature dependence Thermal imaging |
| description |
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 um2 measured in a polymeric thin film on top of CaF2 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. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 2023 2023 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/336068 https://api.elsevier.com/content/abstract/scopus_id/85147939451 |
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http://hdl.handle.net/10261/336068 https://api.elsevier.com/content/abstract/scopus_id/85147939451 |
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Inglés |
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Inglés |
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#PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/885689 info:eu-repo/grantAgreement/EC/H2020/897148 Chávez-Angel, Emigdio; Ng, Ryan C.; Sandell, Susanne; He, Jianying; Castro-Álvarez, Alejandro; Sotomayor Torres, C. M.; Kreuzer, Martin; 2023; Supplementary Materials Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films [Dataset]; Multidisciplinary Digital Publishing Institute; https://doi.org/10.3390/polym15030536 https://doi.org/10.3390/polym15030536 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Multidisciplinary Digital Publishing Institute |
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Multidisciplinary Digital Publishing Institute |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin FilmsChávez-Angel, EmigdioNg, Ryan C.Sandell, SusanneHe, JianyingCastro-Álvarez, AlejandroSotomayor Torres, C. M.Kreuzer, MartinFTIR polymerFTIR thermometryMachine learningSynchrotron radiationTemperature dependenceThermal imagingThe 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 um2 measured in a polymeric thin film on top of CaF2 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.We acknowledge the support from the project LEIT funded by the European Research Council, H2020 Grant Agreement No. 885689. ICN2 is supported by the Severo Ochoa program from the Spanish Research Agency (AEI, grant no. SEV-2017-0706) and by the CERCA Programme/Generalitat de Catalunya. R.C.N. acknowledges funding from the EU-H2020 research and innovation program under the Marie Sklodowska Curie Individual Fellowship (Grant No. 897148). The Research Council of Norway is acknowledged for the support to NorFab (Grant No. 295864) and the HEFACE project (Grant No. 251068). A.C.-A. acknowledges the support from the Fondecyt Iniciación 11200620.Peer reviewedMultidisciplinary Digital Publishing InstituteEuropean CommissionGeneralitat de CatalunyaMinisterio de Ciencia, Innovación y Universidades (España)Agencia Estatal de Investigación (España)Research Council of NorwayFondo Nacional de Desarrollo Científico y Tecnológico (Chile)Chávez-Angel, Emigdio [0000-0002-9783-0806]Ng, Ryan C. [0000-0002-0527-9130]Sandell, Susanne [0000-0003-1906-6790]He, Jianying [0000-0001-8485-7893]Castro-Álvarez, Alejandro [0000-0001-8360-8027]Sotomayor Torres, C. M. [0000-0001-9986-2716]Kreuzer, Martin [0000-0002-7305-5016]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/336068https://api.elsevier.com/content/abstract/scopus_id/85147939451reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/885689info:eu-repo/grantAgreement/EC/H2020/897148Chávez-Angel, Emigdio; Ng, Ryan C.; Sandell, Susanne; He, Jianying; Castro-Álvarez, Alejandro; Sotomayor Torres, C. M.; Kreuzer, Martin; 2023; Supplementary Materials Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films [Dataset]; Multidisciplinary Digital Publishing Institute; https://doi.org/10.3390/polym15030536https://doi.org/10.3390/polym15030536Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3360682026-05-22T06:33:51Z |
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15.811543 |