Year: 2025
Type: article
Abstract: The analysis of thermal desorption spectra (TDS) and the calculation of hydrogen detrapping activation energies rely on Gaussian peak deconvolution and Choo-Lee plot regression since 1982. However, this method imposes important assumptions about the number and shape of the TDS peaks used for fitting.In this study, we propose the fingerprint method, an alternative approach that eliminates these long-standing constraints. By applying the fingerprint analysis to eight TDS spectra from three different Fe-C model alloys, we demonstrate its exceptional sensitivity and ability to resolve activation energy distributions -- the material fingerprint -- unattainable with traditional methods. We further showcase by manual and automated analysis how the such obtained fingerprints can be used to uniquely distinguish the TDS spectra of each alloy independent of the heating rate. Thus the fingerprint method also increases experimental efficiency by reducing the amount of necessary heating rates for TDS down to one.
Source: npj Materials Degradation
Institutions: Materials Center Leoben (Austria), Ghent University
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,590
Funders: Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung, Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie, Austrian Science Fund, Fonds Wetenschappelijk Onderzoek, Universiteit Gent, Österreichische Forschungsförderungsgesellschaft, Christian Doppler Forschungsgesellschaft, Bijzonder Onderzoeksfonds UGent
OpenAlex ID: W4417184881