Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Margarit Gjoka"'
Autor:
Georgia Basina, Vasileios Alexandrakis, Ioannis Panagiotopoulos, Dimitrios Niarchos, Eamonn Devlin, Margarit Gjoka, George C. Hadjipanayis, Vasileios Tzitzios
Publikováno v:
Nanomaterials, Vol 14, Iss 6, p 482 (2024)
Bimetallic colloidal CoPt nanoalloys with low platinum content were successfully synthesized following a modified polyol approach. Powder X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), thermogravimetric analysis (TGA), and
Externí odkaz:
https://doaj.org/article/06f03358904f4728a417836bff0505bd
Publikováno v:
Materials, Vol 17, Iss 4, p 808 (2024)
SmCo5 constitutes one of the strongest classes of permanent magnets, which exhibit magnetocrystalline anisotropy with uniaxial character and enormous energy and possess high Curie temperature. However, the performance of SmCo5 permanent magnets is hi
Externí odkaz:
https://doaj.org/article/ec61ec78850043ddb8bd19362d642d7c
Autor:
Georgios Sempros, Charalampos Sarafidis, Stefanos Giaremis, Joseph Kioseoglou, Margarit Gjoka
Publikováno v:
AIP Advances, Vol 12, Iss 3, Pp 035343-035343-5 (2022)
In the present work we present a preliminary experimental and ab-initio study of a series of compounds with nominal composition Sm1-xMMxCo5-y-zFeyNiz (x = 0 – 0.7; y = 0.5 – 1.5; z = 0.5 – 1). Compounds with MM content up to 50% were successful
Externí odkaz:
https://doaj.org/article/48c70731e0664ddbb8b5c0fe3021efa4
Autor:
Stefanos Giaremis, Georgios Katsikas, Georgios Sempros, Margarit Gjoka, Charalambos Sarafidis, Joseph Kioseoglou
Publikováno v:
Nanoscale. 14:5824-5839
The partial substitution of Sm with mischmetal is investigated, by ab initio calculations, machine learning techniques and experimental synthesis, characterization.
Autor:
Margarit Gjoka
Publikováno v:
Material Science and Engineering with Advanced Research. 1:10-14
Publikováno v:
Polymer-Plastics Technology and Engineering. 54:81-86
This work presents a simple and rapid method for determining which of three combined processing conditions, rotation speed, mixing temperature and duration of mixing that is the most efficient for the preparation of polypropylene/carbon nanotube comp
Publikováno v:
IEEE Transactions on Magnetics. Nov2014, Vol. 50 Issue 11, p1-4. 4p.