Machine Learning Texture Optimization

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Marques, 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]

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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. (2023-03-01)
Subject	Computer and Information Science; Physics
Keyword	Machine Learning, Non Conformal lubricated contact, Deep Neural Network, Tribology, Texture, Optimization
Related Publication	Silva, 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

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	1 to 3 of 3 Files	Original Format Archival Format (.tab)
	inputs.tab Tabular Data - 14.1 MB - Mar 3, 2023 - 13 Downloads 26 Variables, 127167 Observations - UNF:6:pkL4G5wFp5wgtVz8B9a/zg==	View Data Original File Format (Comma Separated Values) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX
	targets.tab Tabular Data - 15.9 MB - Mar 3, 2023 - 6 Downloads 7 Variables, 127167 Observations - UNF:6:nuHVm8E2VLqM9F0ZRzUsiw==	View Data Original File Format (Comma Separated Values) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX
	targets_test_set.tab Tabular Data - 514.3 KB - Mar 3, 2023 - 6 Downloads 7 Variables, 3936 Observations - UNF:6:g79VSPL4HdKO7LhFudUfhg==	View Data Original File Format (Comma Separated Values) Tab-Delimited RData Format Variable Metadata Data File Citation RIS EndNote XML BibTeX

Citation Metadata

Dataset Persistent ID	doi:10.34622/datarepositorium/MUVOJD
Publication Date	2023-03-03
Title	Machine Learning Texture Optimization
Author	Marques, Luis (Universidade do Minho) - ORCID: 0000-0001-7477-6934
Contact	Use email button above to contact. Marques, Luis (Universidade do Minho)
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. (2023-03-01)
Subject	Computer and Information Science; Physics
Keyword	Machine Learning Non Conformal lubricated contact Deep Neural Network Tribology Texture Optimization
Related Publication	Silva, 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.19.054078
Producer	Luis Marques (University of Minho)
Production Date	2021
Production Place	Universidade do Minho, Campus de Gualtar, Braga, Portugal
Contributor	Project Member : Alexandre Silva Project Member : Veniero Lenzi Project Member : Sergey Pyrlin
Grant Information	Fundação para a Ciência e Tecnologia: UIDB/04650/2020 Fundação para a Ciência e Tecnologia: PTDC/EME-SIS/30446/2017 Fundação para a Ciência e Tecnologia: POCI-01–CPCA/A2/4513/2020 European Regional Development Fund, through Portugal 2020 (PT2020), and by the Competitiveness and Internationalization Operational Programme (COMPETE 2020): POCI-01-0247-FEDER-045940 Fundação para a Ciência e Tecnologia: POCI-01-0247-FEDER-045940
Distributor	Luis Marques (Universidade do Minho)
Distribution Date	2023-03-03
Depositor	Marques, Luis
Deposit Date	2023-03-01
Kind of Data	Program source code, Textual data
Software	Feline

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