| Enhancements in domestic refrigeration, approaching a sustainable refrigerator–A review JM Belman-Flores, JM Barroso-Maldonado, AP Rodríguez-Muñoz, ... Renewable and Sustainable Energy Reviews 51, 955-968, 2015 | 141 | 2015 |
| Experimental exergy analysis of R513A to replace R134a in a small capacity refrigeration system A Mota-Babiloni, JM Belman-Flores, P Makhnatch, J Navarro-Esbrí, ... Energy 162, 99-110, 2018 | 59 | 2018 |
| A comparison between the modeling of a reciprocating compressor using artificial neural network and physical model JM Belman-Flores, S Ledesma, JM Barroso-Maldonado, J Navarro-Esbrí International Journal of Refrigeration 59, 144-156, 2015 | 34 | 2015 |
| Analysis and modeling of a variable speed reciprocating compressor using ANN S Ledesma, JM Belman-Flores, JM Barroso-Maldonado International Journal of Refrigeration 59, 190-197, 2015 | 29 | 2015 |
| ANN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling JM Barroso-Maldonado, JA Montañez-Barrera, JM Belman-Flores, ... Applied Thermal Engineering 149, 492-501, 2019 | 23 | 2019 |
| A review of recent research on the use of R1234yf as an environmentally friendly fluid in the Organic Rankine Cycle JJ García-Pabón, D Méndez-Méndez, JM Belman-Flores, ... Sustainability 13 (11), 5864, 2021 | 21 | 2021 |
| Prediction of heat transfer coefficients for forced convective boiling of N2-hydrocarbon mixtures at cryogenic conditions using artificial neural networks JM Barroso-Maldonado, JM Belman-Flores, S Ledesma, SM Aceves Cryogenics 92, 60-70, 2018 | 15 | 2018 |
| Exergy assessment of a refrigeration plant using computational intelligence based on hybrid learning methods JM Belman-Flores, JM Barroso-Maldonado, S Ledesma, V Pérez-García, ... International Journal of Refrigeration 88, 35-44, 2018 | 8 | 2018 |
| Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels JA Montañez-Barrera, JM Barroso-Maldonado, AF Bedoya-Santacruz, ... International Journal of Heat and Mass Transfer 194, 123017, 2022 | 7 | 2022 |
| Predicting the energy performance of a reciprocating compressor using artificial neural networks and probabilistic neural networks JM Barroso-Maldonado, JM Belman-Flores, S Ledesma, ... Revista Mexicana de Ingeniería Química 16 (2), 679-690, 2017 | 7 | 2017 |
| Virtual test bench as a complement to study thermal area: application in vapor compression systems JM Belman-Flores, JM Barroso-Maldonado, S Mendez-Díaz, ... Revista Facultad de Ingeniería Universidad de Antioquia, 54-62, 2015 | 4 | 2015 |
| Modeling of the compression process for refrigerants R134a and R1234yf of a variable speed reciprocating compressor JM Barroso-Maldonado, JM Belman-Flores, S Ledesma Journal of Advanced Thermal Science Research 2 (1), 33-43, 2015 | 4 | 2015 |
| SIMULACIÓN ENERGÉTICA DE UN AIRE ACONDICIONADO AUTOMOTRIZ TRABAJANDO CON REFRIGERANTES R-1234yf y R-134a. JM Belman-Flores, JM Barroso–Maldonado, JM Mendoza, ... Memorias del XIX congreso internacional anual de la Somim, 2013 | 4 | 2013 |
| Internal heat exchanger influence in operational cost and environmental impact of an experimental installation using low GWP refrigerant for HVAC conditions D Méndez-Méndez, V Pérez-García, JM Belman-Flores, JM Riesco-Ávila, ... Sustainability 14 (10), 6008, 2022 | 3 | 2022 |
| Synthesis of N2-hydrocarbon refrigerant composition for maximum LNG production in PRICO processes JM Barroso-Maldonado, SM Aceves, JM Belman-Flores Applied Thermal Engineering 219, 119485, 2023 | 2 | 2023 |
| A brief model to evaluate the behaviour of R134a/R1234yf mixtures on a reciprocating compressor JM Barroso-Maldonado, JM Belman-Flores, C Rubio-Maya ASME International Mechanical Engineering Congress and Exposition 57441 …, 2015 | 1 | 2015 |
| Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels A Mota-Babiloni, A Montanez Barrera, JM Barroso-Maldonado, ... Elsevier, 2022 | | 2022 |
| Soft-ANN based correlation for air-water two-phase flow pressure drop estimation in a vertical mini-channel JM Barroso Maldonado, JM Riesco-Ávila, M Picón-Núñez | | 2022 |
| Banco de pruebas virtual como complemento para el estudio del á rea té rmica: aplicación en sistemas de compresión de vapor. JM Belman-Flores, JM Barroso-Maldonado, S Mendez-DÃaz, ... Revista Facultad de Ingenieria. Universidad de Antioquia, 54-63, 2015 | | 2015 |
| A comparison between the modeling of a reciprocating compressor using artificial neural network and physical model J Belman, S Ledesma, JM Barroso-Maldonado, J Navarro-Esbrí Elsevier, 2015 | | 2015 |
