Carbon adsorption on waste biomass of passion fruit peel: A promising machine learning model for CO2 capture

Christiano Bruneli Peres, Leandro Cardoso de Morais, Pedro Miguel Rebelo Resende

Open source

DOI
10.1016/j.jcou.2024.102680
Published
2024-02
Container
Journal of CO2 Utilization
Publisher
Elsevier BV
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.jcou.2024.102680,
  title = {Carbon adsorption on waste biomass of passion fruit peel: A promising machine learning model for CO2 capture},
  author = {Christiano Bruneli Peres and Leandro Cardoso de Morais and Pedro Miguel Rebelo Resende},
  year = {2024},
  journal = {Journal of CO2 Utilization},
  doi = {10.1016/j.jcou.2024.102680},
  url = {https://doi.org/10.1016/j.jcou.2024.102680}
}

RIS

TY  - JOUR
TI  - Carbon adsorption on waste biomass of passion fruit peel: A promising machine learning model for CO2 capture
AU  - Christiano Bruneli Peres
AU  - Leandro Cardoso de Morais
AU  - Pedro Miguel Rebelo Resende
PY  - 2024
JO  - Journal of CO2 Utilization
DO  - 10.1016/j.jcou.2024.102680
UR  - https://doi.org/10.1016/j.jcou.2024.102680
ER  - 

APA

Peres, C. B., Morais, L. C. D., & Resende, P. M. R. (2024). Carbon adsorption on waste biomass of passion fruit peel: A promising machine learning model for CO2 capture. Journal of CO2 Utilization. https://doi.org/10.1016/j.jcou.2024.102680

Source records