Centro de Física

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1 to 3 of 3 Results

Dopant-vacancy synergy effects on ferroelectric La doped ZrO2 May 11, 2026 - Lab Física Computacional Marques, Luis; Lenzi, Veniero; Silva, Alexandre, 2026, "Dopant-vacancy synergy effects on ferroelectric La doped ZrO2", https://doi.org/10.34622/datarepositorium/GATMQJ, Repositório de Dados da Universidade do Minho, V1 The present Dataset makes available the set of optimized structures used to calculate the energetics, polarization and piezoelectric properties, and switching energy barriers for 6.25 cat.% La-doped ZrO2, using density functional theory calculations performed using VASP 6.5 (Vien...
Machine Learning Texture Optimization Mar 3, 2023 - Lab Física Computacional 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] 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.
Lab Física Computacional(Universidade do Minho) Feb 23, 2023 Repositório de dados do Grupo de Investigação "Lab Física Computacional"

Dopant-vacancy synergy effects on ferroelectric La doped ZrO2

May 11, 2026 - Lab Física Computacional

Marques, Luis; Lenzi, Veniero; Silva, Alexandre, 2026, "Dopant-vacancy synergy effects on ferroelectric La doped ZrO2", https://doi.org/10.34622/datarepositorium/GATMQJ, Repositório de Dados da Universidade do Minho, V1

The present Dataset makes available the set of optimized structures used to calculate the energetics, polarization and piezoelectric properties, and switching energy barriers for 6.25 cat.% La-doped ZrO2, using density functional theory calculations performed using VASP 6.5 (Vien...

Machine Learning Texture Optimization

Mar 3, 2023 - Lab Física Computacional

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]

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.

Lab Física Computacional(Universidade do Minho)

Feb 23, 2023

Repositório de dados do Grupo de Investigação "Lab Física Computacional"

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