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A High-Throughput Imagery Protocol to Predict Functionality..:
Bruno Rafael de Almeida Moreira
;
Armando Lopes de Brito Filho
;
Marcelo Rodrigues Barbosa Júnior
.
https://www.mdpi.com/2073-4395/12/2/446. , 2022
Link:
https://doi.org/10.3390/agronomy12020446
RT Journal T1
A High-Throughput Imagery Protocol to Predict Functionality upon Fractality of Carbon-Capturing Biointerfaces
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:76132823b411482ab1e37f2b086a4d1f&Exemplar=1&LAN=DE A1 Bruno Rafael de Almeida Moreira A1 Armando Lopes de Brito Filho A1 Marcelo Rodrigues Barbosa Júnior A1 Rouverson Pereira da Silva PB MDPI AG YR 2022 K1 adsorbent K1 box-counting method K1 high-resolution stereomicroscopy imagery data K1 physical adsorption K1 porous carbonaceous material K1 simple linear iterative clustering algorithm K1 Agriculture K1 S JF https://www.mdpi.com/2073-4395/12/2/446 LK http://dx.doi.org/https://doi.org/10.3390/agronomy12020446 DO https://doi.org/10.3390/agronomy12020446 SF ELIB - SuUB Bremen
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