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Luis A. Briceno-Mena
244  Ergebnisse:
Personensuche X
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1

A microfluidic approach to study variations in Chlamydomona..:

Rahnama, Alireza ; Vaithiyanathan, Manibarathi ; Briceno-Mena, Luis...
The Analyst.  149 (2024)  16 - p. 4256-4266 , 2024
Link: https://doi.org/10.1039/..
 
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2

Determining Ion Activity Coefficients in Ion-Exchange Membr..:

Gallage Dona, Hishara Keshani ; Olayiwola, Teslim ; Briceno-Mena, Luis A....
Industrial & Engineering Chemistry Research.  62 (2023)  24 - p. 9533-9548 , 2023
Link: https://doi.org/10.1021/..
 
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3

Machine learning-based surrogate models and transfer learni..:

Briceno-Mena, Luis A. ; Arges, Christopher G. ; Romagnoli, Jose A.
Computers & Chemical Engineering.  171 (2023)  - p. 108159 , 2023
Link: https://doi.org/10.1016/..
 
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4

Unsupervised learning: Local and global structure preservat..:

Seghers, Estelle E. ; Briceno-Mena, Luis A. ; Romagnoli, José A.
Computers & Chemical Engineering.  178 (2023)  - p. 108378 , 2023
Link: https://doi.org/10.1016/..
 
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5

Deconvoluting charge-transfer, mass transfer, and ohmic res..:

Arunagiri, Karthik ; Wong, Andrew Jark-Wah ; Briceno-Mena, Luis...
Energy & Environmental Science.  16 (2023)  12 - p. 5916-5932 , 2023
Link: https://doi.org/10.1039/..
 
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6

Data mining and knowledge discovery in chemical processes: ..:

Briceno-Mena, Luis A. ; Nnadili, Miriam ; Benton, Michael G..
Data-Centric Engineering.  3 (2022)  - p. , 2022
Link: https://doi.org/10.1017/..
 
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7

Electrochemical Pumping for Challenging Hydrogen Separation:

Venugopalan, Gokul ; Bhattacharya, Deepra ; Andrews, Evan...
ACS Energy Letters.  7 (2022)  4 - p. 1322-1329 , 2022
Link: https://doi.org/10.1021/..
 
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8

PemNet: A Transfer Learning-Based Modeling Approach of High..:

Briceno-Mena, Luis A. ; Romagnoli, José A. ; Arges, Christopher G.
Industrial & Engineering Chemistry Research.  61 (2022)  9 - p. 3350-3357 , 2022
Link: https://doi.org/10.1021/..
 
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9

Machine learning for guiding high-temperature PEM fuel cell..:

Briceno-Mena, Luis A. ; Venugopalan, Gokul ; Romagnoli, José A..
Patterns.  2 (2021)  2 - p. 100187 , 2021
Link: https://doi.org/10.1016/..
 
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10

A Machine Learning Approach for Device Design from Material..:

, In: 31st European Symposium on Computer Aided Process Engineering; Computer Aided Chemical Engineering,
Briceno-Mena, Luis A. ; Venugopalan, Gokul ; Arges, Christopher C.. - p. 279-285 , 2021
Link: https://doi.org/10.1016/..
 
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11

Heterogeneous Catalytic Ozonation of Phenol over Iron-based..:

Durán Herrera, Esteban ; Briceño Mena, Luis
Revista Ingeniería.  30 (2020)  2 - p. 1-13 , 2020
Link: https://doi.org/10.15517..
 
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12

Data mining and knowledge discovery in chemical processes: ..:

Luis A. Briceno-Mena ; Miriam Nnadili ; Michael G. Benton.
https://www.cambridge.org/core/product/identifier/S2632673622000211/type/journal_article.  , 2022
Link: https://doi.org/10.1017/..
 
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13

Machine learning for guiding high-temperature PEM fuel cell..:

Luis A. Briceno-Mena ; Gokul Venugopalan ; José A. Romagnoli.
http://www.sciencedirect.com/science/article/pii/S2666389920302579.  , 2021
Link: https://doi.org/10.1016/..
 
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14

PEMNET: A Transfer Learning-based Modeling Approach of High..:

Briceno-Mena, Luis A ; Arges, Christopher G ; Romagnoli, Jose A
http://arxiv.org/abs/2105.03057.  , 2021
Link: http://arxiv.org/abs/210..
 
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15

Heterogeneous Catalytic Ozonation of Phenol over Iron-based..:

Luis Briceño Mena ; Esteban Durán Herrera
https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/39236.  , 2020
Link: https://doi.org/10.15517..
 
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