{"@context":"http://schema.org","@type":"Dataset","@id":"https://doi.org/10.34622/datarepositorium/MUVOJD","identifier":"https://doi.org/10.34622/datarepositorium/MUVOJD","name":"Machine Learning Texture Optimization","creator":[{"name":"Marques, Luis","affiliation":"Universidade do Minho","@id":"https://orcid.org/0000-0001-7477-6934","identifier":"https://orcid.org/0000-0001-7477-6934"}],"author":[{"name":"Marques, Luis","affiliation":"Universidade do Minho","@id":"https://orcid.org/0000-0001-7477-6934","identifier":"https://orcid.org/0000-0001-7477-6934"}],"datePublished":"2023-03-03","dateModified":"2023-12-05","version":"1","description":["This 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."],"keywords":["Computer and Information Science","Physics","Machine Learning","Non Conformal lubricated contact","Deep Neural Network","Tribology","Texture","Optimization"],"citation":[{"@type":"CreativeWork","text":"Silva, A., Lenzi, V., Pyrlin, S., Carvalho, S., Cavaleiro, A., &amp; 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","@id":"https://doi.org/10.1103/PhysRevApplied.19.054078","identifier":"https://doi.org/10.1103/PhysRevApplied.19.054078"}],"license":{"@type":"Dataset","text":"<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>."},"includedInDataCatalog":{"@type":"DataCatalog","name":"Repositório de Dados da Universidade do Minho","url":"https://datarepositorium.uminho.pt"},"publisher":{"@type":"Organization","name":"Repositório de Dados da Universidade do Minho"},"provider":{"@type":"Organization","name":"Repositório de Dados da Universidade do Minho"},"funder":[{"@type":"Organization","name":"Fundação para a Ciência e Tecnologia"},{"@type":"Organization","name":"Fundação para a Ciência e Tecnologia"},{"@type":"Organization","name":"Fundação para a Ciência e Tecnologia"},{"@type":"Organization","name":"European Regional Development Fund, through Portugal 2020 (PT2020), and by the Competitiveness and Internationalization Operational Programme (COMPETE 2020)"},{"@type":"Organization","name":"Fundação para a Ciência e Tecnologia"}],"distribution":[{"@type":"DataDownload","name":"00_README.txt","fileFormat":"text/plain","contentSize":1050},{"@type":"DataDownload","name":"inputs.tab","fileFormat":"text/tab-separated-values","contentSize":14749792},{"@type":"DataDownload","name":"inputs_test_set.csv","fileFormat":"text/csv","contentSize":413385},{"@type":"DataDownload","name":"script_DNN_training.ipynb","fileFormat":"application/x-ipynb+json","contentSize":10222},{"@type":"DataDownload","name":"targets.tab","fileFormat":"text/tab-separated-values","contentSize":16697970},{"@type":"DataDownload","name":"targets_test_set.tab","fileFormat":"text/tab-separated-values","contentSize":526680}]}