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Datos MATLAB - 7,0 MB -
MD5: c2d32a9506e58ed4f1de9dbfb472a5df
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MD5: 48aa94fbf1807593a9a045ef36ab7342
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13 ene. 2022
Velasco, Francisco J., 2022, "J Molec Liq 117856 2022", https://doi.org/10.21950/IAXM05, e-cienciaDatos, V2
Numerical data files were obtained from electrochemical measurements and DFT calculations. XPS and FTIR data were obtained from direct measurements of surfaces. SEM images and consequent EDS analysis were taken on steel surfaces after immersion in inhibitor-containing solution. D... |
13 ene. 2022 -
J Molec Liq 117856 2022
Texto plano - 4,1 KB -
MD5: 266a5e66c9ce656db7507560c4a89cc7
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12 ene. 2022 -
J Molec Liq 117856 2022
Adobe PDF - 684,1 KB -
MD5: a787e2045d8384930b4d15c506891a11
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12 ene. 2022 -
J Molec Liq 117856 2022
Adobe PDF - 941,4 KB -
MD5: 2332901cbd26d4a50d2a024e8a649271
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12 ene. 2022 -
J Molec Liq 117856 2022
Hoja de cálculo MS Excel - 15,4 KB -
MD5: 19c8c1d542c58c6e76e95a6989410f1d
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12 ene. 2022 -
J Molec Liq 117856 2022
Imagen TIFF - 358,3 KB -
MD5: 3bcb943dc8c3746b06fe6c1138727ae1
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12 ene. 2022 -
J Molec Liq 117856 2022
Datos tabulares - 129,8 KB
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12 ene. 2022 -
J Molec Liq 117856 2022
Hoja de cálculo MS Excel - 142,0 KB -
MD5: 85f54c2965bfb2b008aac2e628f55c72
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