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| Título: | Machine learning data and models for the study of IJP deposition of REBCO films |
Autor: | Queraltó, Albert CSIC ORCID; Pacheco, Adrià; Jiménez Valcárcel, Nerea; Ricart, Susagna CSIC ORCID; Obradors, Xavier CSIC ORCID; Puig Molina, Teresa CSIC ORCID | Palabras clave: | Machine learning Inkjet printing deposition Random forest |
Fecha de publicación: | 8-nov-2021 | Citación: | Queraltó, Albert; Pacheco, Adrià; Jiménez Valcárcel, Nerea; Ricart, Susagna; Obradors, Xavier; Puig Molina, Teresa; 2021; "Machine learning data and models for the study of IJP deposition of REBCO films"; DIGITAL.CSIC | Resumen: | The dataset contains a collection of different parameters concerning inkjet printing deposition (voltage, pulse length, drop volume, drop and line spacing, nº of drops and total volume deposited) for 231 samples that were used to build machine learning for the variables Nº of Drops and Total Volume Deposited, perform predictions, as well as analyze the influence of the other variables on the model results. | URI: | http://hdl.handle.net/10261/253916 | DOI: | 10.20350/digitalCSIC/14016 |
| Aparece en las colecciones: | (ICMAB) Conjuntos de datos |
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| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| Queralto_Machine learning data and models IJP deposition.zip | 7,74 MB | Unknown | Visualizar/Abrir |
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