Quantifying surface morphology of manufactured activated carbon and the waste coffee grounds using the Getis-Ord-Gi* statistic and Ripley’s K function
Crossref DOI link: https://doi.org/10.1038/s41598-021-87249-0
Published Online: 2021-04-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Lee, Sanghoon
Na, Sukjoon
Rogers, Olivia G.
Youn, Sungmin
Text and Data Mining valid from 2021-04-06
Version of Record valid from 2021-04-06
Article History
Received: 4 December 2020
Accepted: 24 March 2021
First Online: 6 April 2021
Competing interests
: The authors declare no competing interests.