Machine Learning Texture Optimizationhttps://doi.org/10.34622/datarepositorium/MUVOJDMarques, LuisRepositório de Dados da Universidade do Minho2023-03-032023-12-05T17:41:22ZThis 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.Computer and Information SciencePhysicsMachine LearningNon Conformal lubricated contactDeep Neural NetworkTribologyTextureOptimizationSilva, 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. Applied 19, 054078 (2023). arXiv preprint: 2212.06523, doi, 10.1103/PhysRevApplied.19.054078, https://doi.org/10.1103/PhysRevApplied.19.0540782021Marques, LuisAlexandre SilvaVeniero LenziSergey Pyrlin2023-03-01Program source code, Textual dataNONE<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>.