Computational insights into graphene-based materials for arsenic removal from wastewater: a hybrid quantum mechanical study
Crossref DOI link: https://doi.org/10.1007/s43832-024-00160-3
Published Online: 2024-11-14
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ayeni, Olusola Ibraheem
Oyegoke, Toyese
Text and Data Mining valid from 2024-11-14
Version of Record valid from 2024-11-14
Article History
Received: 19 August 2024
Accepted: 4 November 2024
First Online: 14 November 2024
Declarations
:
: Not applicable.
: The authors declare no competing interests.