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Toward artificial intelligence and machine learning-enabled frameworks for improved predictions of lifecycle environmental impacts of functional materials and devices

Crossref DOI link: https://doi.org/10.1557/s43579-023-00480-w

Published Online: 2023-10-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ibn-Mohammed, T. https://orcid.org/0000-0003-2454-0303
Mustapha, K. B.

Abdulkareem, M.

Fuensanta, A. Ucles

Pecunia, V.

Dancer, C. E. J.
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Text and Data Mining valid from 2023-10-05

Version of Record valid from 2023-10-05
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Article History

Received: 8 May 2023

Accepted: 6 September 2023

First Online: 5 October 2023

Declarations

:

: The authors declare that they have no known conflict of interests or competing interests or personal relationships that could have appeared to influence the work reported in this paper.

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