The mineral foundation of the energy transition
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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].”
From Towards the lithium-ion battery production network: Thinking beyond mineral supply chains (2022) · cites this paper as [2]
The citation lists haven’t been fetched yet
References 23 · Cited by 154
- Authors
- Bazilian, M. D.
- Affiliations
- Colorado School of Mines (US)
- Corresponding author
- Bazilian, Morgan D.
- ORCID
- 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.
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