Cobalt in Polymetallic Systems: Mineralogy, Geochemistry, and Ore Genesis
A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Deposits".
Deadline for manuscript submissions: 25 December 2026 | Viewed by 169
Special Issue Editors
Interests: genetic mineralogy; Cu-Au- and Fe-polymetallic ore deposits; critical metal enrichment
Interests: hydrothermal deposits; element migration and precipitation; machine learning
Special Issue Information
Dear Colleagues,
Cobalt, a critical metal essential for rechargeable lithium‑ion batteries and high‑performance alloys, faces growing global demand. Although cobalt is often recovered as a by‑product from various deposit types, its distinct geochemical behavior and enrichment mechanisms remain underexplored. This Special Issue aims to compile cutting‑edge research on cobalt‑bearing polymetallic deposits, advancing our understanding of their mineralogy, geochemistry, and metallogenesis. Contributions will provide key insights into cobalt occurrence, fluid‑mediated transport and precipitation, and enrichment processes—knowledge that can directly enhance the efficiency of mineral processing and extractive metallurgy.
This Special Issue invites submissions that include original scientific research relating to Co polymetallic deposits from well-known and/or emerging districts worldwide. Topics of interest include, but are not limited to, the following: 1) the geological setting, mineralogy, and genesis of cobalt polymetallic deposits; 2) mechanisms of Co transport and precipitation in ore‑forming fluids; 3) applications of machine learning and advanced analytical techniques to the identification and characterization of cobalt mineralization; 4) integrated exploration models for effective targeting of cobalt‑polymetallic resources.
Dr. Zhilin Wang
Dr. Shaohao Zou
Dr. Hui Wang
Guest Editors
Manuscript Submission Information
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Keywords
- co-occurrence
- super enrichment
- geochemical behavior
- mineralization processes
- thermodynamic modeling
- machine learning
- sulfide
- partition coefficient
- co-provenance
- sediment-hosted Cu-Co deposit
- hydrothermal vein-type Co deposit
- magmatic Cu-Ni-Co deposit
- laterite Ni-Co deposit
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