| Numerical analysis of energy absorption in expanded polystyrene foams AE Rodríguez-Sánchez, H Plascencia-Mora, ER Ledesma-Orozco, ... Journal of Cellular Plastics, 0021955X19880506, 2019 | 21 | 2019 |
| Part distortion optimization of aluminum-based aircraft structures using finite element modeling and artificial neural networks AE Rodríguez-Sánchez, E Ledesma-Orozco, S Ledesma CIRP Journal of Manufacturing Science and Technology, 1-12, 2020 | 20 | 2020 |
| An optimization of part distortion for a structural aircraft wing rib: an industrial workflow approach L Barcenas, E Ledesma-Orozco, S Van-der-Veen, F Reveles-Arredondo, ... CIRP Journal of Manufacturing Science and Technology, 2020 | 20 | 2020 |
| Application of artificial neural networks to map the mechanical response of a thermoplastic elastomer AE Rodríguez-Sánchez, E Ledesma-Orozco, S Ledesma, A Vidal-Lesso Materials Research Express 6 (7), 075320, 2019 | 15 | 2019 |
| A machine learning approach to estimate the strain energy absorption in expanded polystyrene foams AE Rodríguez-Sánchez, H Plascencia-Mora Journal of Cellular Plastics, 1-29, 2021 | 13 | 2021 |
| Modeling hysteresis in expanded polystyrene foams under compressive loads using feed-forward neural networks AE Rodríguez-Sánchez, H Plascencia-Mora Journal of Cellular Plastics, 2023 | 7 | 2023 |
| The use of neural networks and nonlinear finite element models to simulate the temperature-dependent stress response of thermoplastic elastomers AE Rodríguez-Sánchez, S Ledesma, A Vidal-Lesso, E Ledesma-Orozco Proceedings of the Institution of Mechanical Engineers, Part L: Journal of …, 2019 | 7 | 2019 |
| Neural networks-based modeling of compressive stress in expanded polystyrene foams: A focus on bead size parameters MI Pech-Mendoza, AE Rodríguez-Sánchez, H Plascencia-Mora Proceedings of the Institution of Mechanical Engineers, Part L: Journal of …, 2024 | 5 | 2024 |
| An Artificial Neural Networks approach to predict low-velocity impact forces in an elastomer material AE Rodríguez-Sánchez SIMULATION, 1-13, 2020 | 5 | 2020 |
| Modeling Nonlinear Compressive Stress Responses in Closed-Cell Polymer Foams Using Artificial Neural Networks: A Comprehensive Case Study AE Rodríguez-Sánchez Machine Learning in Materials Informatics: Methods and Applications 1, 87-109, 2022 | 4 | 2022 |
| Numerical analysis of wood-high-density polyethylene composites: A hyperelastic approach AE Rodríguez-Sánchez, A Vega-Rios, SG Flores-Gallardo, ... Journal of Composite Materials 53 (1), 73-82, 2019 | 4 | 2019 |
| Neural network-driven interpretability analysis for evaluating compressive stress in polymer foams AE Rodríguez-Sánchez, H Plascencia-Mora, M Acevedo Journal of Cellular Plastics, 2024 | 3 | 2024 |
| Evidential neural network for tensile stress uncertainty quantification in thermoplastic elastomers AE Rodríguez-Sánchez Neural Computing and Applications, 2024 | 1 | 2024 |
| Neural Networks Modeling of Strain Energy Density and Tsai-Wu Index in Laminated Composites E Ledesma-Orozco, J Galvis-Chacón, AE Rodríguez-Sánchez Journal of Composite Materials, 2024 | 1 | 2024 |
| A numerical study of the effect of the thickness parameter on machining distortion for aluminum alloy plates AE Rodríguez-Sánchez, E Ledesma-Orozco, L Barcenas Engineering Research Express, 2021 | 1 | 2021 |
| Classification of Rugosity in Plasmonic Metallic Thin Films Using Deep Learning for Speckle Images CN Magaña-Barocio, M Gonzalez, MC Peña-Gomar, MT Cisneros, ... Latin America Optics and Photonics Conference, W4A. 33, 2024 | | 2024 |
| Optimización de la configuración de materiales compuestos laminados mediante redes neuronales y templado simulado JC Galvis-Chacón, AE Rodríguez-Sánchez, E Ledesma-Orozco CULCYT. Cultura Científica y Tecnológica 21 (3), 53-65, 2024 | | 2024 |
| La posibilidad de explicación científica a partir de modelos basados en redes neuronales artificiales AE Rodríguez-Sánchez Revista Colombiana de Filosofía de la Ciencia 24 (48), 2024 | | 2024 |
| Modeling of Compressive Stress in AlSi10Mg Alloys Using Feed-forward Neural Networks AE Rodríguez-Sánchez, M Acevedo-Alvarado Engineering Research Express, 2024 | | 2024 |
| Classification of Rugosity in Plasmonic Metallic Thin Films Using Deep Learning for Speckle Images AE Rodríguez-Sánchez | | 2024 |
Héctor Plascencia MoraProfesor de Ingeniería Mecánica, Universidad de GuanajuatoEmail confirmado em ugto.mx