Repositorio de Datos de la UAH
Dataverses destacados

Para usar esta funcionalidad ha de tener publicado o enlazado al menos un dataverse.

Publicar dataverse

¿Está seguro de que quiere publicar su dataverse? Una vez hecho esto, deberá permanecer publicado.

Publicar dataverse

Este dataverse no puede publicarse porque el dataverse al que pertenece no se ha publicado.

Eliminar dataverse

¿Está seguro de que quiere eliminar este dataverse? No podrá recuperarlo.

Búsqueda avanzada

271 a 280 de 3.683 Resultados
readme_Machine learning algorithms to optimize.txt
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Texto plano - 6,5 KB - MD5: 33f9ce9bddfe535bda79b3f5d7bcf6e4
Text 1_Mechanical Properties.txt
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Texto plano - 967 B - MD5: ed90f7d70eda8e1dc3e544137dcc7ce2
Text 2_Thermal Properties.txt
5 nov 2024 - Machine learning algorithms to optimize the properties of bio-based poly(butylene succinate-co- butylene adipate) nanocomposites with carbon nanotubes
Texto plano - 776 B - MD5: b2f2fa31b57871b96fee7e311139b101
Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
5 nov 2024
Diez-Pascual, Ana María; Champa-Bujaico, Elisabeth; Garcia Díaz, Pilar; Lomas Redondo, Alba, 2024, "Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques", https://doi.org/10.21950/2ZUDRR, e-cienciaDatos, V1
Machine learning (ML) algorithms offer quick and accurate predictions of material properties at a low computational cost. In this project, the mechanical properties of multiscale poly(3-hydroxybutyrate) (P3HB)-based nanocomposites reinforced with different concentrations of multi...
Figure 1_photos I.jpg
Figure 1_photos I.jpg
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen JPEG - 31,1 KB - MD5: 201295890ff370c7fe968acdf6ca15b1
FIgure 2_Photos II.jpg
FIgure 2_Photos II.jpg
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen JPEG - 31,7 KB - MD5: 092b5e66b60762d138050a9f7ed83d3c
Figure 3_SEM I.png
Figure 3_SEM I.png
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen PNG - 183,6 KB - MD5: 0e727d836a3c4d73ce45b0cc7c66dde4
Figure 4_SEM II.png
Figure 4_SEM II.png
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen PNG - 179,6 KB - MD5: c9a35e6160346ff0e8fcd7ba7e71cf8b
Figure 5_Young Modulus.png
Figure 5_Young Modulus.png
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen PNG - 50,1 KB - MD5: 8b414932a50aea30d3f68115f7b564b3
Figure 6_Tensile Strength.png
Figure 6_Tensile Strength.png
5 nov 2024 - Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Imagen PNG - 54,9 KB - MD5: 6aa2b97c341fd685c3308c92cdcc94cc
Añadir datos

Necesita identificarse para crear un dataverse o añadir un dataset.

Iniciar sesión
Compartir dataverse

Compartir este dataverse en sus redes sociales favoritas.

Enlace al dataverse
Reiniciar modificaciones

¿Está seguro de que quiere reiniciar los campos de metadatos seleccionados?. Si lo hace, cualquier personalización (oculto, obligatorio, opcional) que haya hecho desaparecerá.