| Incorporating deep learning predictions to assess the water-energy-food nexus security AY Raya-Tapia, FJ López-Flores, JM Ponce-Ortega Environmental Science & Policy 144, 99-109, 2023 | 18 | 2023 |
| A hybrid metaheuristic–deterministic optimization strategy for waste heat recovery in industrial plants FJ López-Flores, LG Hernández-Pérez, LF Lira-Barragán, E Rubio-Castro, ... Industrial & Engineering Chemistry Research 60 (9), 3711-3722, 2021 | 14 | 2021 |
| Solar photovoltaic panel production in Mexico: A novel machine learning approach FJ López-Flores, C Ramírez-Márquez, E Rubio-Castro, JM Ponce-Ortega Environmental Research 246, 118047, 2024 | 9 | 2024 |
| Hybrid machine learning-mathematical programming approach for optimizing gas production and water management in shale gas fields FJ López-Flores, LF Lira-Barragán, E Rubio-Castro, MM El-Halwagi, ... ACS Sustainable Chemistry & Engineering 11 (15), 6043-6056, 2023 | 9 | 2023 |
| Development and evaluation of deep learning models for forecasting gas production and flowback water in shale gas reservoirs FJ López-Flores, LF Lira-Barragán, E Rubio-Castro, MM El-Halwagi, ... Industrial & Engineering Chemistry Research 62 (16), 6434-6447, 2023 | 9 | 2023 |
| Incorporating machine learning for thermal engines modeling in industrial waste heat recovery FJ López-Flores, E Rubio-Castro, JM Ponce-Ortega Chemical Engineering Research and Design 181, 239-252, 2022 | 8 | 2022 |
| Data-driven machine learning approach for modeling the production and predicting the characteristics of aligned electrospun nanofibers FJ López-Flores, JA Ornelas-Guillén, A Pérez-Nava, ... Industrial & Engineering Chemistry Research 63 (22), 9904-9913, 2024 | 5 | 2024 |
| Optimal profit distribution in interplant waste heat integration through a hybrid approach FJ López-Flores, LG Hernández-Pérez, LF Lira-Barragán, E Rubio-Castro, ... Energy 253, 124001, 2022 | 5 | 2022 |
| A machine learning approach for optimizing the water-energy-food-ecosystem nexus: A resilience perspective for sustainability FJ López-Flores, XG Sánchez-Zarco, E Rubio-Castro, JM Ponce-Ortega Environment, Development and Sustainability, 1-29, 2023 | 4 | 2023 |
| Optimal expansion for a clean power sector transition in Mexico based on predicted electricity demand using deep learning scheme TI Serrano-Arévalo, FJ López-Flores, AY Raya-Tapia, ... Applied Energy 348, 121597, 2023 | 4 | 2023 |
| Process Systems Engineering Tools for Optimization of Trained Machine Learning Models: Comparative and Perspective FJ López-Flores, C Ramírez-Márquez, JM Ponce-Ortega Industrial & Engineering Chemistry Research 63 (32), 13966-13979, 2024 | 3 | 2024 |
| Machine Learning for Predicting and Optimizing Physicochemical Properties of Deep Eutectic Solvents: Review and Perspectives FJ López-Flores, C Ramírez-Márquez, JB González-Campos, ... Industrial & Engineering Chemistry Research 64 (6), 3103–3117, 2025 | 2 | 2025 |
| Reusing Industrial Gaseous Emissions for Syngas Production A Solis-Jacome, FJ López-Flores, JM Ponce-Ortega Process Integration and Optimization for Sustainability 6 (4), 1133-1142, 2022 | 1 | 2022 |
| Comprehensive crop allocation model: Balancing profitability, environmental impact, and occupational health FJ López-Flores, ME Cervantes-Gaxiola, OM Hernández-Calderón, ... Computers & Chemical Engineering 194, 108996, 2025 | | 2025 |
| Comparative framework of representative weeks selection methods for the optimization of power systems AY Raya-Tapia, FJ López-Flores, J Tovar-Facio, JM Ponce-Ortega Computers & Chemical Engineering 194, 108985, 2025 | | 2025 |
| Optimal Production of Solar Photovoltaic Panels in Mexico through a Hybrid Machine Learning and Mathematical Programming Approach FJL Flores, C Ramírez-Márquez, LF Lira-Barragán, E Rubio-Castro, ... 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Machine Learning Models Development for the Optimal Production of Aligned Nanofibers FJ López-Flores, JA Ornelas-Guillén, A Pérez-Nava, ... Computer Aided Chemical Engineering 53, 2863-2868, 2024 | | 2024 |
| Enhancing Solar Photovoltaic Panel Production: A Novel Machine Learning Approach for Optimizing Mexico’s Potential FJ López-Flores, C Ramírez-Márquez, JM Ponce-Ortega Computer Aided Chemical Engineering 53, 13-18, 2024 | | 2024 |
| Simultaneous Integration of Machine Learning in a Mixed-Integer Nonlinear Programming Formulation to Optimize Gas Production and Water Management in Shale Gas Reservoirs FJL Flores, LF Lira-Barragán, E Rubio-Castro, M El-Halwagi, ... 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Profit Distribution in Interplant Heat Integration Using a Hybrid Optimization Approach FJL Flores, LF Lira-Barragán, LG Hernández-Pérez, E Rubio-Castro, ... 2022 AIChE Annual Meeting, 2022 | | 2022 |
JOSE MARIA PONCE ORTEGAProfessor Universidad Michoacana de San Nicolas de HidalgoCorreu electrònic verificat a umich.mx