Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Araceli Sanchez-Martinez"'
Autor:
Diego E. Navarro-López, Yocanxóchitl Perfecto-Avalos, Araceli Zavala, Marco A. de Luna, Araceli Sanchez-Martinez, Oscar Ceballos-Sanchez, Naveen Tiwari, Edgar R. López-Mena, Gildardo Sanchez-Ante
Publikováno v:
Antibiotics, Vol 13, Iss 3, p 220 (2024)
The rise in antibiotic-resistant bacteria is a global health challenge. Due to their unique properties, metal oxide nanoparticles show promise in addressing this issue. However, optimizing these properties requires a deep understanding of complex int
Externí odkaz:
https://doaj.org/article/3cd4689ecd664590abb719654a5cebca
Autor:
Jorge L. Mejía-Méndez, Diego E. Navarro-López, Araceli Sanchez-Martinez, Oscar Ceballos-Sanchez, Luis Eduardo Garcia-Amezquita, Naveen Tiwari, Karla Juarez-Moreno, Gildardo Sanchez-Ante, Edgar R. López-Mena
Publikováno v:
Antioxidants, Vol 13, Iss 2, p 213 (2024)
This study used a sonochemical synthesis method to prepare (La, Sm)-doped ZnO nanoparticles (NPs). The effect of incorporating these lanthanide elements on the structural, optical, and morphological properties of ZnO-NPs was analyzed. The cytotoxicit
Externí odkaz:
https://doaj.org/article/dea8a5a2cdfd4860aaa04845acee5038
Autor:
Rogelio A. Léon-García, Ernesto Rojas-Pablos, Jorge L. Mejía-Méndez, Araceli. Sanchez-Martinez, Diego E. Navarro-López, Angélica Lizeth Sánchez-López, Luis Marcelo Lozano, Oscar Ceballos-Sanchez, Edgar R. López-Mena, Gildardo Sanchez-Ante
Publikováno v:
Chemical Engineering Journal Advances, Vol 20, Iss , Pp 100669- (2024)
Multilayer sequential neural networks, a powerful machine learning model, demonstrate the ability to learn intricate relationships between input features and desired outputs. This study focuses on employing such models to design photovoltaic cells. S
Externí odkaz:
https://doaj.org/article/b9f1b605d7404b798c2aa52f74ba9673