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Cited by 124Machine Learning in Materials ScienceArtificial Intelligence ApplicationsArt, Technology, and Culture

Artificial Intelligence-Enabled Science Poetry

Kirmani, Ahmad R.·2023·ACS Energy Letters
DOI 10.1021/acsenergylett.2c02758
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Abstract

ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTArtificial Intelligence-Enabled Science PoetryAhmad R. Kirmani*Ahmad R. KirmaniSchool of Chemistry and Materials Science, Rochester Institute of Technology, 84 Lomb Memorial Drive, Rochester, New York 14623, United States*[email protected]More by Ahmad R. Kirmanihttps://orcid.org/0000-0002-8351-3762Cite this: ACS Energy Lett. 2023, 8, 1, 574–576Publication Date (Web):December 19, 2022Publication History Received5 December 2022Accepted7 December 2022Published online19 December 2022Published inissue 13 January 2023https://pubs.acs.org/doi/10.1021/acsenergylett.2c02758https://doi.org/10.1021/acsenergylett.2c02758article-commentaryACS PublicationsCopyright © 2022 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views9220Altmetric-Citations4LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will l…

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Crossref · 10.1021/acsenergylett.2c02758

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Statistics

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  • ChatGPT is a public tool developed by OpenAI that is based on the GPT language model technology.

    “ChatGPT is a public tool developed by OpenAI that is based on the GPT language model technology (Kirmani, 2022).”

    From Chatting about ChatGPT: how may AI and GPT impact academia and libraries? (2023) · cites this paper as Kirmani, 2022

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Authors
Kirmani, A. R.
Affiliations
Rochester Institute of Technology (US)
Corresponding author
Kirmani, Ahmad R.
ORCID
Kirmani, Ahmad R.
Venue
ACS Energy Letters
Publisher
American Chemical Society (ACS)
Published
2022-12-19
Volume
8
Issue
1
Pages
574-576
ISSN
2380-8195 (ISSN-L)
DOI
10.1021/acsenergylett.2c02758
OpenAlex
W4313422136
Cited by
124
References
0
Citations by year
2026: 8 · 2025: 16 · 2024: 48 · 2023: 52
Type
journal article
Language
en
Open access
closed
Licence
Locations
ACS Energy Letters (publishedVersion)
Topics
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
Keywords
science poetry, artificial intelligence, poetry generation, science communication

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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