Supplementary Materials Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films
10 pages. -- Figure S1. Electrical resistivity of the gold wire measured at different temperatures in a heating stage. -- Figure S2. Simulated IR spectra of PMMA molecules. -- Figure S3. Fitted Gaussian center positions for each PMMA absorbance peak vs temperature. -- Figure S4. Fitted Gaussian ampl...
| Autores: | , , , , , , |
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| Tipo de recurso: | conjunto de datos |
| 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:10261/336360 |
| Acceso en línea: | http://hdl.handle.net/10261/336360 |
| Access Level: | acceso abierto |
| Sumario: | 10 pages. -- Figure S1. Electrical resistivity of the gold wire measured at different temperatures in a heating stage. -- Figure S2. Simulated IR spectra of PMMA molecules. -- Figure S3. Fitted Gaussian center positions for each PMMA absorbance peak vs temperature. -- Figure S4. Fitted Gaussian amplitudes for each PMMA absorbance peak vs temperature. -- Figure S5. Fitted Gaussian full width at half maximum (FWHM) for each PMMA absorbance peak vs temperature. -- Figure S6. Synchronous (a) and asynchronous (b) two-dimensional correlation spectra obtained from temperature-dependent FTIR spectra of the PMMA film. The red and blue colors represent positive and negative cross peaks, respectively. -- Figure S7. Simulated synchronous two-dimensional correlation spectra centered at ~1149 cm-1. -- Figure S8. PMMA absorbance peaks at 283 K fitted individually using a Gaussian line shape, show-ing the data points and the fit as black lines. -- Figure S9. Fitting results for a linear fit to the temperature dependence of the peak center positions for different absorbance peaks. The linear fits are shown in red in Figure S3. -- Figure S10. Thermal decay as function of sample position for different temperatures of the heater wire. The solid lines represent the best fit. -- Figure S11. (a) Transferred data (scores plot) of the PCA with the calibration data (stars) and the line scan data points (circle). (b) Loadings plot of the PCA showing PC-1 (black) and PC-2 (red). -- Figure S12. Simplified workflow of the machine learning approach in this work done by Orange [12–14]. |
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