| Can accelerated aging procedures predict the long term behavior of polymers exposed to different environments? M Frigione, A Rodríguez-Prieto Polymers 13 (16), 2688, 2021 | 60 | 2021 |
| Analysis of favorable process conditions for the manufacturing of thin-wall pieces of mild steel obtained by wire and arc additive manufacturing (WAAM) JL Prado-Cerqueira, AM Camacho, JL Diéguez, Á Rodríguez-Prieto, ... Materials 11 (8), 1449, 2018 | 57 | 2018 |
| Prediction of mechanical properties by artificial neural networks to characterize the plastic behavior of aluminum alloys D Merayo, A Rodríguez-Prieto, AM Camacho Materials 13 (22), 5227, 2020 | 47 | 2020 |
| Comparative analysis of artificial intelligence techniques for material selection applied to manufacturing in Industry 4.0 D Merayo, A Rodriguez-Prieto, AM Camacho Procedia Manufacturing 41, 42-49, 2019 | 42 | 2019 |
| Prediction of physical and mechanical properties for metallic materials selection using big data and artificial neural networks D Merayo, A Rodríguez-Prieto, AM Camacho IEEE access 8, 13444-13456, 2020 | 39 | 2020 |
| Materials selection criteria for nuclear power applications: A decision algorithm Á Rodríguez-Prieto, AM Camacho, MÁ Sebastián JOM 68, 496-506, 2016 | 35 | 2016 |
| Prediction of the bilinear stress-strain curve of aluminum alloys using artificial intelligence and big data D Merayo Fernández, A Rodríguez-Prieto, AM Camacho Metals 10 (7), 904, 2020 | 28 | 2020 |
| Multicriteria materials selection for extreme operating conditions based on a multiobjective analysis of irradiation embrittlement and hot cracking prediction models A Rodríguez-Prieto, AM Camacho, MA Sebastián International Journal of Mechanics and Materials in Design 14, 617-634, 2018 | 18 | 2018 |
| An educational software to reinforce the comprehensive learning of materials selection A Rodríguez‐Prieto, AM Camacho, D Merayo, MA Sebastián Computer Applications in Engineering Education 26 (1), 125-140, 2018 | 18 | 2018 |
| Polymers selection for harsh environments to be processed using additive manufacturing techniques Á Rodríguez-Prieto, AM Camacho, AM Aragon, MA Sebastian, ... IEEE Access 6, 29899-29911, 2018 | 17 | 2018 |
| Análisis de requisitos tecnológicos de materiales especificados en normativas reguladas y su repercusión sobre la fabricación de recipientes especiales para la industria nuclear Á Rodríguez Prieto Análisis de requisitos tecnológicos de materiales especificados en …, 2014 | 15 | 2014 |
| Topological optimization of artificial neural networks to estimate mechanical properties in metal forming using machine learning D Merayo, A Rodríguez-Prieto, AM Camacho Metals 11 (8), 1289, 2021 | 14 | 2021 |
| Effect of Process Parameters and Definition of Favorable Conditions in Multi-Material Extrusion of Bimetallic AZ31B–Ti6Al4V Billets D Fernández, A Rodríguez-Prieto, AM Camacho Applied Sciences 10 (22), 8048, 2020 | 14 | 2020 |
| An experimental and numerical analysis of the compression of bimetallic cylinders AM Camacho, Á Rodríguez-Prieto, JM Herrero, AM Aragón, C Bernal, ... Materials 12 (24), 4094, 2019 | 11 | 2019 |
| Evaluation method for pressure vessel manufacturing codes: the influence of ASME unit conversion Á Rodríguez-Prieto, AM Camacho, MÁ Sebastián International Journal of Materials and Product Technology 54 (4), 259-274, 2017 | 11 | 2017 |
| Selection of candidate materials for reactor pressure vessels: Application of irradiation embrittlement prediction models and a stringency level methodology Á Rodríguez-Prieto, AM Camacho, MÁ Sebastián Proceedings of the Institution of Mechanical Engineers, Part L: Journal of …, 2019 | 10 | 2019 |
| Reliability prediction of acrylonitrile O-Ring for nuclear power applications based on shore hardness measurements A Rodríguez-Prieto, E Primera, M Frigione, AM Camacho Polymers 13 (6), 943, 2021 | 9 | 2021 |
| Quantitative analysis of prediction models for hot cracking in industrial stainless steels using standardized requirements A Rodríguez-Prieto, AM Camacho, MA Sebastián Sādhanā 42, 2147-2155, 2017 | 9 | 2017 |
| Selection of Die Material and Its Impact on the Multi-Material Extrusion of Bimetallic AZ31B–Ti6Al4V Components for Aeronautical Applications D Fernández, A Rodríguez-Prieto, AM Camacho Materials 14 (24), 7568, 2021 | 7 | 2021 |
| Analysis of the current scenario of additive manufacturing standardization and certification A Rodriguez-Prieto, AM Camacho, AM Aragón, MA Sebastián, ... Proc. 22nd Int. Congr. Project Manage. Eng, 1011-1023, 2018 | 7 | 2018 |
