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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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Claim

GLOMBO

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Nov 2023Publisher:Zenodo
Authors: John Ryter; Karan Bhuwalka;
Code repository: https://github.com/johnryt/GLOMBO_github/tree/v0.1

doi: 10.5281/zenodo.10452594 , 10.5281/zenodo.11087488 , 10.5281/zenodo.10452622 , 10.5281/zenodo.8327490

Abstract

GLOMBO: GLObal Materials modeling using Bayesian Optimization. Supporting code and data for the publication: John Ryter, Karan Bhuwalka, Michelena O'Rourke, Luca Montanelli, David Cohen-Tanugi, Richard Roth, Elsa Olivetti. Understanding key mineral supply chain dynamics using economics-informed material flow analysis and Bayesian optimization" in the Journal of Industrial Ecology. Journal of Industrial Ecology, 2024.

Keywords

material flow analysis, GLOMBO

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average