TY - GEN A1 - Morcillo, Dalia T1 - Lithium isotope analysis combining atomic absorption spectroscopy and machine learning N2 - In this poster for the SCIX Conference, we apply an analytical procedure based on the monitoring of the lithium isotope through the partially resolved isotope shift in the electronic transition 22P<-22S around wavelength 670.80 nm using high-resolution continuum source atomic absorption spectrometer (HR-CS-AAS) in combination with machine learning (ML) for the determination of Li Isotope ratio analysis. T2 - SCIX Conference CY - Providence, RI, USA DA - 26.09.2021 KW - Lithium isotope KW - High-resolution continuum source atomic absorption spectrometer KW - Machine learning PY - 2021 UR - https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/53686 AN - OPUS4-53686 AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany