From the journal:

Journal of Analytical Atomic Spectrometry

Correction: Towards advanced mineral identification for future space mining applications employing LIBS and machine learning

Homa Saeidfirozeh,*a   Ashwin Kumar Myakalwar,b   Pavlína Šeborová,a   Ján Žabka,a   Bernd Abel,ac   Petr Kubelíka  and  Martin Ferusa  

* Corresponding authors

a J. Heyrovský Institute of Physical Chemistry, Czech Academy of Sciences, Dolejškova 3, CZ 18223 Prague 8, Czech Republic
E-mail: homa.saeidfirouzeh@jh-inst.cas.cz

b Department of Physics, Faculty of Science and Technology (IcfaiTech), ICFAI Foundation for Higher Education, Dontanpally, Hyderabad 501203, India

c Faculty of Chemistry and Mineralogy, Institute of Chemical Technology, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany

Abstract

Correction for ‘Towards advanced mineral identification for future space mining applications employing LIBS and machine learning’ by Homa Saeidfirozeh et al., J. Anal. At. Spectrom., 2026, 41, 615–632, https://doi.org/10.1039/D5JA00377F.

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Article information

DOI
https://doi.org/10.1039/D6JA90012G
Article type
Correction
Submitted
30 Jan 2026
Accepted
30 Jan 2026
First published
17 Mar 2026
This article is Open Access
Creative Commons BY license

J. Anal. At. Spectrom., 2026, Advance Article

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Correction: Towards advanced mineral identification for future space mining applications employing LIBS and machine learning

H. Saeidfirozeh, A. K. Myakalwar, P. Šeborová, J. Žabka, B. Abel, P. Kubelík and M. Ferus, J. Anal. At. Spectrom., 2026, Advance Article , DOI: 10.1039/D6JA90012G

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