Cited by 154Extraction and Separation ProcessesMining and Resource ManagementGlobal Energy Security and Policy

The mineral foundation of the energy transition

Bazilian, Morgan D.·2018·The Extractive Industries and Society

Integrity signals

Registry

Crossref · 10.1016/j.exis.2017.12.002

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

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  • Decarbonisation, electrification and growing demand for energy storage will augment total material demand even while fossil fuel use may decline.

    “Stepping back, the work we have briefly reviewed shows how decarbonisation, electrification and growing demand for energy storage will augment total material demand even while fossil fuel use may decline [1,2].”

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References 23 · Cited by 154

Authors
Bazilian, M. D.
Affiliations
Colorado School of Mines (US)
Corresponding author
Bazilian, Morgan D.
Venue
The Extractive Industries and Society
Publisher
Elsevier BV
Published
2018-01
Volume
5
Issue
1
Pages
93-97
ISSN
2214-790X (ISSN-L)
OpenAlex
W2792174982
Cited by
154
References
23
Citations by year
2026: 10 · 2025: 20 · 2024: 27 · 2023: 28 · 2022: 22 · 2021: 23 · 2020: 14 · 2019: 9 · 2018: 1
FWCI
7.51
Type
journal article
Language
en
Open access
closed
Locations
The Extractive Industries and Society (publishedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Extraction and Separation Processes
  • Physical Sciences › Engineering › Building and Construction › Mining and Resource Management
  • Physical Sciences › Energy › General Energy › Global Energy Security and Policy
Keywords
energy transition, critical minerals, critical metals, low-carbon technologies, photovoltaics, electric vehicles, geopolitical risk, resource mapping, political economy of mining, environmental social governance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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