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Luis Briceno-Mena
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Year
Electrochemical pumping for challenging hydrogen separations
G Venugopalan, D Bhattacharya, E Andrews, L Briceno-Mena, ...
ACS Energy Letters 7 (4), 1322-1329, 2022
222022
Machine learning for guiding high-temperature PEM fuel cells with greater power density
LA Briceno-Mena, G Venugopalan, JA Romagnoli, CG Arges
Patterns 2 (2), 2021
202021
PemNet: A Transfer Learning-Based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems
LA Briceno-Mena, JA Romagnoli, CG Arges
Industrial & Engineering Chemistry Research 61 (9), 3350-3357, 2022
92022
Machine learning-based surrogate models and transfer learning for derivative free optimization of HT-PEM fuel cells
LA Briceno-Mena, CG Arges, JA Romagnoli
Computers & Chemical Engineering 171, 108159, 2023
72023
Determining ion activity coefficients in ion-exchange membranes with machine learning and molecular dynamics
HKG Dona, T Olayiwola, LA Briceno-Mena, CG Arges, R Kumar, ...
32023
Data mining and knowledge discovery in chemical processes: Effect of alternative processing techniques
LA Briceno-Mena, M Nnadili, MG Benton, JA Romagnoli
Data-Centric Engineering 3, e18, 2022
32022
Unsupervised learning: Local and global structure preservation in industrial data
EE Seghers, LA Briceno-Mena, JA Romagnoli
Computers & Chemical Engineering 178, 108378, 2023
22023
Determining Ion Activity Coefficients in Ion-Exchange Membranes with Machine Learning and Molecular Dynamics Simulations
HK Gallage Dona, T Olayiwola, LA Briceno-Mena, CG Arges, R Kumar, ...
Industrial & Engineering Chemistry Research 62 (24), 9533-9548, 2023
22023
Deconvoluting charge-transfer, mass transfer, and ohmic resistances in phosphonic acid–sulfonic acid ionomer binders used in electrochemical hydrogen pumps
K Arunagiri, AJW Wong, L Briceno-Mena, HMGH Elsayed, JA Romagnoli, ...
Energy & Environmental Science 16 (12), 5916-5932, 2023
22023
Optimization of Multi-Modal Classification for Process Monitoring
Z Webb, M Nnadili, E Seghers, L Briceno-Mena, J Romagnoli
Frontiers in Chemical Engineering 4, 78, 2022
22022
A Machine Learning Approach for Device Design from Materials and Operation Data
LA Briceno-Mena, G Venugopalan, CC Arges, JA Romagnoli
Computer Aided Chemical Engineering 50, 279-285, 2021
22021
Feature Embedding of Molecular Dynamics-Based Descriptors for Modeling Electrochemical Separation Processes
HKG Dona, T Olayiwola, LA Briceno-Mena, CG Arges, R Kumar, ...
Computer Aided Chemical Engineering 52, 1451-1456, 2023
12023
Hybrid Modeling for Electrochemical Systems
LA Briceno-Mena
12023
Automated Synthesis of Hybrid Models for Ionic Separations
T Olayiwola, L Briceno-Mena, T Kulkarni, C Arges, R Kumar, ...
2023 AIChE Annual Meeting, 2023
2023
Process Monitoring Optimization Via Unsupervised Clustering Metrics
L Briceno-Mena, Z Webb, JA Romagnoli
2022 AIChE Annual Meeting, 2022
2022
Bridging the length scales in ionic separations via data-driven science and machine learning
C Arges, M Ramos-Garcés, Q Lei, M Jordan, D Senadheera, K Li, ...
APS March Meeting Abstracts 2022, Y19. 009, 2022
2022
Electrochemical Properties of High-Temperature Polymer Electrolyte Thin Films
G Venugopalan, LA Briceno-Mena, D Bhattacharya, JA Romagnoli, ...
Electrochemical Society Meeting Abstracts 239, 1191-1191, 2021
2021
Heterogeneous Catalytic Ozonation of Phenol over Iron-based Catalysts in a Trickle Bed
LB Mena, JED Herrera
Ingeniería. Revista de la Universidad de Costa Rica 30 (2), 1-13, 2020
2020
Caracterización de la operación de un reactor de lecho percolador para su uso en el tratamiento de aguas residuales mediante ozonación catalítica heterogénea
LA Briceño Mena
2015
Foundations of Process/Product Analytics and Machine learning FOPAM 2023, University of California, Davis CA, July 30-Aug 3, 2023 THREE-BODY PROBLEM: SMALL DATA, INTERPRETATION …
LA Briceno-Mena, CG Arges, JA Romagnoli
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