Machine Learning Texture Optimizationdoi:10.34622/datarepositorium/MUVOJDRepositório de Dados da Universidade do Minho2023-03-031Marques, Luis, 2023, "Machine Learning Texture Optimization", https://doi.org/10.34622/datarepositorium/MUVOJD, Repositório de Dados da Universidade do Minho, V1, UNF:6:PYIYvLMs2mywboc9nuNvdw== [fileUNF]Machine Learning Texture Optimizationdoi:10.34622/datarepositorium/MUVOJDMarques, LuisAlexandre SilvaVeniero LenziSergey PyrlinLuis Marques2021Universidade do Minho, Campus de Gualtar, Braga, PortugalFelineUIDB/04650/2020PTDC/EME-SIS/30446/2017POCI-01–CPCA/A2/4513/2020POCI-01-0247-FEDER-045940POCI-01-0247-FEDER-045940Repositório de Dados da Universidade do MinhoLuis MarquesMarques, Luis2023-03-03Marques, Luis2023-03-01Computer and Information SciencePhysicsMachine LearningNon Conformal lubricated contactDeep Neural NetworkTribologyTextureOptimizationThis data set contains the data used for training, validation and test the deep neural network used for solving a texture optimization problem for the lubricated contacts between surfaces.Program source code, Textual data<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons Licence" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.10.1103/PhysRevApplied.19.054078Silva, A., Lenzi, V., Pyrlin, S., Carvalho, S., Cavaleiro, A., & Marques, L., Deep Learning Approach to the Texture Optimization Problem for Friction Control in Lubricated Contacts Phys. Rev. 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