Artificial neural network modelling for the prediction of the deactivation of CaO-based adsorbents in the calcium looping process for CO2 capture

Rui M. Filipe, Sérgio González-De-La-Cruz, Adrian Bonilla-Petriciolet, Carla C. Pinheiro

Open source

DOI
10.1016/b978-0-443-15274-0.50201-8
Published
2023
Container
Computer Aided Chemical Engineering
Publisher
Elsevier
Open access
unknown

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BibTeX

@article{allodium:10.1016/b978-0-443-15274-0.50201-8,
  title = {Artificial neural network modelling for the prediction of the deactivation of CaO-based adsorbents in the calcium looping process for CO2 capture},
  author = {Rui M. Filipe and Sérgio González-De-La-Cruz and Adrian Bonilla-Petriciolet and Carla C. Pinheiro},
  year = {2023},
  journal = {Computer Aided Chemical Engineering},
  doi = {10.1016/b978-0-443-15274-0.50201-8},
  url = {https://doi.org/10.1016/b978-0-443-15274-0.50201-8}
}

RIS

TY  - JOUR
TI  - Artificial neural network modelling for the prediction of the deactivation of CaO-based adsorbents in the calcium looping process for CO2 capture
AU  - Rui M. Filipe
AU  - Sérgio González-De-La-Cruz
AU  - Adrian Bonilla-Petriciolet
AU  - Carla C. Pinheiro
PY  - 2023
JO  - Computer Aided Chemical Engineering
DO  - 10.1016/b978-0-443-15274-0.50201-8
UR  - https://doi.org/10.1016/b978-0-443-15274-0.50201-8
ER  - 

APA

Filipe, R. M., González-De-La-Cruz, S., Bonilla-Petriciolet, A., & Pinheiro, C. C. (2023). Artificial neural network modelling for the prediction of the deactivation of CaO-based adsorbents in the calcium looping process for CO2 capture. Computer Aided Chemical Engineering. https://doi.org/10.1016/b978-0-443-15274-0.50201-8

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