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January 1, 2026Journal of Analytical Atomic SpectrometryOpen Access

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

Homa Saeidfirozeh Ashwin Kumar Myakalwar Pavlína Šeborová Ján Žabka Bernd Abel Petr Kubelík Martin Ferus

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Key Points

The aim is to enhance the accuracy of mineral identification in space mining contexts using advanced techniques.
Utilized laser-induced breakdown spectroscopy (LIBS) for mineral analysis.
Applied machine learning algorithms to improve identification accuracy.
Focused on the relevance of findings for future space mining applications.
Demonstrated improved mineral identification efficacy with advanced methodologies.
Identified specific minerals relevant for space resources more reliably.
Provided insights into the applicability of these techniques for future missions.

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Implication

Correction highlights improved mineral identification for space mining using LIBS and machine learning.

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Cite This Study

Saeidfirozeh et al. (2026) studied this question.

synapsesocial.com/papers/69bb928c496e729e6297fe72 https://doi.org/10.1039/d6ja90012g

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