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Potential strategic ore deposits on Mars: Implications for in situ resource utilization

2025· article· en· W4415070099 on OpenAlexaboutno aff
Richard M. Palin, Laurence Robb, Nicholas J. Gardiner, Lot Koopmans, F M H Sihombing, Mohammad Sayab, Jon Wade, S. M. Elardo

Bibliographic record

VenueEarth-Science Reviews · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsnot available
FundersNatural Environment Research Council
KeywordsIron oreResource (disambiguation)Production (economics)Process (computing)Work (physics)

Abstract

fetched live from OpenAlex

The discovery and utilization of natural resources on Mars will be crucial for supporting the sustainability of future human exploration and habitation. Decades of data obtained from fly-by missions, orbiters, landers, and rovers suggests that Mars hosts a range of minerals and metals, many of which are vital for building infrastructure, life support systems, and spacecraft for further interplanetary travel. Ore-forming processes on Earth are well understood, allowing many parallels to be drawn with features observed on the Martian surface. As Mars is broadly chondritic in composition, mafic volcanic rocks and magmas forming large igneous provinces, such as in the Tharsis Region, should be enriched in chalcophile elements (e.g., Ni, Co, Cu, PGE, and Au), akin to terrestrial examples. These elements play critical roles in the production of electronics, catalysts, and batteries. Weathering and erosion of lavas during the Noachian (4.1–3.7 Ga) and Hesperian (3.7 to c. 3.3–2.9 Ga) periods, when Mars recorded an active hydrological cycle, would have generated placer and lag deposits containing heavy minerals such as magnetite, ilmenite and zircon in fluvial and deltaic environments. Such deposits represent concentrated and easily obtainable sources of Ti, Fe, Cr, and Zr, which have critical uses in construction, including the production of strong and lightweight alloys, stainless steel, and corrosion-resistant materials. Interactions between ascending sulphur-rich magmas and descending or trapped subsurface water in the fractured Martian upper crust likely promoted formation of acidic volcanic–hydrothermal systems, producing sulphate minerals similar to those observed in mid-ocean ridge or crater lake environments on Earth. Chemical sediments, such as evaporites, would have formed during loss of the Martian hydrosphere and will likely host halogens and alkali earth metals that have important uses for chemical engineering and agriculture, being critical ingredients in the manufacture of fertilizer, fuels, construction materials, and energy storage and life-support systems. Finally, given the importance of meteorite impacts in shaping Mars' geological history and their close association with high-grade ore systems on Earth (e.g. Sudbury), we predict that a wide range of progenetic, syngenetic, and epigenetic ore deposits exist within the shallow Martian subsurface, particularly in and around large craters present in the southern highlands. Importantly, we argue that ore deposits uniquely associated with plate tectonic processes on Earth, such as subduction, are not expected to occur on Mars since it never established a mobile lid geodynamic regime. In situ resource utilization will reduce the dependency on Earth-based supply chains, cutting the cost and complexity of long-term missions. Tapping into Mars' ore resources is essential for ensuring the viability and sustainability of exploratory missions, enabling a self-sufficient presence on Mars, and facilitating the future of interplanetary exploration. Additionally, new investigations of the geological processes that control mineralization on Mars are also likely to advance our understanding of terrestrial deposits.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.062
GPT teacher head0.317
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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