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New insights into hydrogen uptake on porous carbon materials via explainable machine learning

https://doi.org/10.1016/j.carbon.2021.04.036
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Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

11 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

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The 11 references without a DOI — listed, not checked
no DOI — not checked10.1016/j.carbon.2021.04.036_bib2
no DOI — not checked10.1016/j.carbon.2021.04.036_bib5
no DOI — not checkedHydrogen storage in CO 2-activated amorphous nanofibers and their monoliths, Carbon N
no DOI — not checkedToward sustainable hydrogen storage and carbon dioxide capture in post-combustion conditions
no DOI — not checked10.1016/j.carbon.2021.04.036_bib21
no DOI — not checked10.1016/j.carbon.2021.04.036_bib54
no DOI — not checkedA unified approach to interpreting model predictions
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