Recent advances in machine learning applications for MXene materials Dedign synthesis characterization and commercialization for energy and environmental applications
| dc.article.end-page | 22 | en |
| dc.article.start-page | 1 | en |
| dc.citation.doi | 10.1016/J.NXMATE.2025.100864 | en |
| dc.contributor.author | S.A Kareem | en |
| dc.contributor.author | M.A Ibrahim | en |
| dc.contributor.author | J.U Anaele | en |
| dc.contributor.author | O.F Olanrewaju | en |
| dc.contributor.author | E.O Aikulola | en |
| dc.contributor.author | Michael Bodunrin | en |
| dc.date.accessioned | 2025-07-16T09:10:45Z | |
| dc.faculty | FACULTY OF ENGINEERING & THE BUILT ENVIRONMENT | en |
| dc.identifier.citation | WOS | en |
| dc.identifier.uri | https://hdl.handle.net/10539/45499 | |
| dc.journal.title | Recent advances in machine learning applications for MXene materials Dedign synthesis characterization and commercialization for energy and environmental applications | en |
| dc.journal.volume | 8 | en |
| dc.title | Recent advances in machine learning applications for MXene materials Dedign synthesis characterization and commercialization for energy and environmental applications | en |
| dc.type | Journal Article | en |
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