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Luis Briceno-Mena
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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
192021
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
Optimization and Machine Learning in Chemical Manufacturing
L Briceno-Mena, S Iyer
2024 Spring Meeting & 20th Global Congress on Process Safety, 2024
2024
A Practitioner’s Guide to Machine Learning Applications in Chemical Engineering
L Briceno-Mena, J Romagnoli
2024 Spring Meeting & 20th Global Congress on Process Safety, 2024
2024
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
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