Mutual incompatibility of distinct spectroscopic systems is among the most limiting factors in Laser-Induced Breakdown Spectroscopy (LIBS). This problem is ruling out the possibility of shared libraries of standards and inter-laboratory comparison. I propose a solution to the library transfer in a simplified format (simultaneous measurements on two systems and shared standards) that could be partially generalized to the whole problem. Machine learning models (autoencoder and MLP) will be used in a transfer learning setup.

CEITEC VUT-J-22-8099

Czech

Vrábel Jakub, Ing., Ph.D. - principal person responsible
Pořízka Pavel, doc. Ing., Ph.D. - fellow researcher

Advanced instrumentation and methods for material characterization
- responsible department (3.3.2022 - not assigned)
Central European Institute of Technology BUT
- responsible department (13.2.2022 - 3.3.2022)
Advanced instrumentation and methods for material characterization
- internal (1.1.2022 - 31.12.2022)
Central European Institute of Technology BUT
- beneficiary (1.1.2022 - 31.12.2022)

VRÁBEL, J.; KÉPEŠ, E.; NEDĚLNÍK, P.; BUDAY, J.; CEMPÍREK, J.; POŘÍZKA, P.; KAISER, J. Spectral library transfer between distinct Laser-Induced Breakdown Spectroscopy systems trained on simultaneous measurements. Journal of Analytical Atomic Spectrometry, 2023, vol. 38, no. 4, p. 841-853. ISSN: 1364-5544.
Detail

VRÁBEL, J.; KÉPEŠ, E.; POŘÍZKA, P.; KAISER, J. Towards interpretability of ANNs for spectroscopic data: inductive bias, lottery tickets, and input optimization. 2022.
Detail

Responsibility: Vrábel Jakub, Ing., Ph.D.