Publications

You can also find my articles on my Google Scholar profile!.

Highlighted Research Papers

1. The Fuel Optimizer: A Data-Driven Numerical Framework for Formulation of Aviation Turbine Fuel

Published in arXiv preprint, 2026

Recommended citation: Ana Larrañaga, Steven L. Brunton, Jacobo Porteiro, and Dario Lopez-Pintor. The Fuel Optimizer: A Data-Driven Numerical Framework for Formulation of Aviation Turbine Fuel. , 2026.
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2. How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit

Published in arXiv preprint, 2026

Recommended citation: Ana Larrañaga, Urban Fasel, and Steven L. Brunton. How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit. , 2026.
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3. Multi-Fidelity SINDy: Sparse Discovery of Nonlinear Dynamical Systems with Fidelity-Weighted Measurements

Published in arXiv preprint, 2026

Recommended citation: Filippo Zacchei, Ana Larrañaga, Attilio Frangi, Andrea Manzoni, and Steven L. Brunton. Multi-Fidelity SINDy: Sparse Discovery of Nonlinear Dynamical Systems with Fidelity-Weighted Measurements. , 2026.
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4. Active Learning for Calibrating Entangling Gates via Surrogate-Based Optimization

Published in arXiv preprint, 2026

Recommended citation: Caleb Walton, Patricia García-Caspueñas, Filippo Zacchei, Ana Larrañaga, Steven L. Brunton, and Sara Mouradian. Active Learning for Calibrating Entangling Gates via Surrogate-Based Optimization. , 2026.
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5. A data-driven approach for predicting the cetane number of renewable and unconventional fuels

Published in Energy Conversion and Management, 2026

Recommended citation: Ana Larrañaga, James R. MacDonald, Steven L. Brunton, Jacobo Porteiro, and Dario Lopez-Pintor. A data-driven approach for predicting the cetane number of renewable and unconventional fuels. Energy Conversion and Management, 350:120940, 2026.
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6. Assessment of the Effective Sensitivity of SARS-CoV-2 Sample Pooling Based on a Large-Scale Screening Experience: Retrospective Analysis

Published in JMIR Public Health and Surveillance, 2024

Recommended citation: Jorge J Cabrera Alvargonzález, Ana Larrañaga, Javier Martínez, Sonia Pérez Castro, Sonia Rey Cao, Carlos Daviña Nuñez, Víctor Del Campo-Pérez, Carmen Duran Parrondo, Silvia Suarez Luque, Elena González Alonso, Alfredo José Silva Tojo, Jacobo Porteiro, and Benito Regueiro. Assessment of the Effective Sensitivity of SARS-CoV-2 Sample Pooling Based on a Large-Scale Screening Experience: Retrospective Analysis. JMIR Public Health and Surveillance, 10:e54503, 2024.
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7. Robust optimization of heat-transfer-enhancing microtextured surfaces based on machine learning surrogate models

Published in International Communications in Heat and Mass Transfer, 2024

Recommended citation: Larrañaga, J. Martínez, J. L. Míguez, and J. Porteiro. Robust optimization of heat-transfer-enhancing microtextured surfaces based on machine learning surrogate models. International Communications in Heat and Mass Transfer, 151:107218, 2024.
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8. On the machine learning-assisted identification of the fundamental parameters of nonstandard microfin arrays to assess their heat transfer performance

Published in Engineering Applications of Artificial Intelligence, 2024

Recommended citation: A. Larrañaga Janeiro, R. D. Sandberg, J. Martínez, and J. Porteiro. On the machine learning-assisted identification of the fundamental parameters of nonstandard microfin arrays to assess their heat transfer performance. Engineering Applications of Artificial Intelligence, 136:108945, 2024.
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9. Modeling and optimization of triple tube heat exchangers. Theoretical formulation, CFD model and experimental contrast

Published in Thermal Science and Engineering Progress, 2024

Recommended citation: M.A. Gómez, J.D. Moya-Rico, A. Larrañaga, N. Cid, and J. Porteiro. Modeling and optimization of triple tube heat exchangers. Theoretical formulation, CFD model and experimental contrast. Thermal Science and Engineering Progress, 52:102658, 2024.
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10. Tourism-Related Placeness Feature Extraction from Social Media Data Using Machine Learning Models.

Published in International Journal of Interactive Multimedia and Artificial Intelligence, 2023

Recommended citation: P. Muñoz, E. Doñaque, A. Larrañaga, J. Martinez, and A. Mejías. Tourism-Related Placeness Feature Extraction from Social Media Data Using Machine Learning Models.. International Journal of Interactive Multimedia and Artificial Intelligence, 8(4):176–181, 2023.
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11. Data-driven prediction of the performance of enhanced surfaces from an extensive CFD-generated parametric search space

Published in Machine Learning: Science and Technology, 2023

Recommended citation: A. Larrañaga, S. L. Brunton, J Martínez, S Chapela, and J Porteiro. Data-driven prediction of the performance of enhanced surfaces from an extensive CFD-generated parametric search space. Machine Learning: Science and Technology, 4(2):025012, 2023.
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12. Semi-Automatic 3D Reconstruction of Atheroma Plaques from Intravascular Ultrasound Images Using an ad-hoc Algorithm

Published in Mathematics, 2023

Recommended citation: Javier Martínez, Daniel Pérez-Palau, Myriam Cilla, Neus Garrido, Ana Larrañaga, and Ignacio Pérez-Rey. Semi-Automatic 3D Reconstruction of Atheroma Plaques from Intravascular Ultrasound Images Using an ad-hoc Algorithm. Mathematics, 11(3), 2023.
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13. Impact of artificial intelligence on assessment methods in primary and secondary education: Systematic literature review

Published in Revista de Psicodidáctica (English ed.), 2023

Recommended citation: Miguel Martínez-Comesaña, Xurxo Rigueira-Díaz, Ana Larrañaga-Janeiro, Javier Martínez-Torres, Iago Ocarranza-Prado, and Denis Kreibel. Impact of artificial intelligence on assessment methods in primary and secondary education: Systematic literature review. Revista de Psicodidáctica (English ed.), 28(2):93-103, 2023.
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14. Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results

Published in Scientific Reports, 2023

Recommended citation: Jorge Cabrera Alvargonzález, Ana Larrañaga Janeiro, Sonia Pérez Castro, Javier Martínez Torres, Lucía Martínez Lamas, Carlos Daviña Nuñez, Víctor Del Campo-Pérez, Silvia Suarez Luque, Benito Regueiro García, and Jacobo Porteiro Fresco. Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results. Scientific Reports, 13(1):7786, 2023.
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15. Experimental Study on the Stability and Transient Behavior of a Closed-Loop Two-Phase Thermosyphon (CLTPT) Charged with NOVEC 649

Published in Energies, 2021

Recommended citation: Ana Larrañaga, Miguel A. Gómez, David Patiño, and Jacobo Porteiro. Experimental Study on the Stability and Transient Behavior of a Closed-Loop Two-Phase Thermosyphon (CLTPT) Charged with NOVEC 649. Energies, 14(23), 2021.
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16. Thermal study of a passive cooling device operating through a bubble lifting CLTPT of NOVEC 7000 with a two-fluid condenser

Published in International Journal of Heat and Mass Transfer, 2021

Recommended citation: M.A. Gómez, R. Bellas, A. González-Gil, A. Cacabelos, and A. Larrañaga. Thermal study of a passive cooling device operating through a bubble lifting CLTPT of NOVEC 7000 with a two-fluid condenser. International Journal of Heat and Mass Transfer, 177:121530, 2021.
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17. Experimental Study of the Performance of a Laboratory-Scale ESP with Biomass Combustion: Discharge Electrode Disposition, Dynamic Control Unit and Aging Effect

Published in Sustainability, 2021

Recommended citation: Natalia Cid, Juan Jesús Rico, Raquel Pérez-Orozco, and Ana Larrañaga. Experimental Study of the Performance of a Laboratory-Scale ESP with Biomass Combustion: Discharge Electrode Disposition, Dynamic Control Unit and Aging Effect. Sustainability, 13(18), 2021.
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18. Viability of Agricultural and Forestry Residues as Biomass Fuels in the Galicia-North Portugal Region: An Experimental Study

Published in Sustainability, 2020

Recommended citation: Juan Jesús Rico, Raquel Pérez-Orozco, Natalia Cid, Ana Larrañaga, and José Luis Míguez Tabarés. Viability of Agricultural and Forestry Residues as Biomass Fuels in the Galicia-North Portugal Region: An Experimental Study. Sustainability, 12(19), 2020.
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19. Flue Gas Recirculation during Biomass Combustion: Implications on PM Release

Published in Energy & Fuels, 2020

Recommended citation: Raquel Perez-Orozco, David Patiño, Jacobo Porteiro, and Ana Larrañaga. Flue Gas Recirculation during Biomass Combustion: Implications on PM Release. Energy & Fuels, 34(9):11112-11122, 2020.
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Conference Papers

1. Experimental investigation on the integration of cold energy storage into a R744 refrigeration system

Published in Proceedings of the 25th IIR International Congress of Refrigeration, 2019

Recommended citation: R. I. Mancescu, Y. Allouche, A. Larrañaga Janeiro, and others. Experimental investigation on the integration of cold energy storage into a R744 refrigeration system. Proceedings of the 25th IIR International Congress of Refrigeration, -, 2019.
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