Results 181 to 190 of about 57,151 (280)
High Permittivity and Supercapacitor Applications of Manganese Substitution in Biosynthesized-NPs Copper Spinel Ferrites. [PDF]
Moualhi C +4 more
europepmc +1 more source
Microstructure Evolution in Directionally Solidified Fe–C–Mn–(Si) Peritectic Steels
This study investigates how growth velocity and silicon additions affect dendritic morphology, primary arm spacing, and mushy‐zone evolution in directionally solidified quaternary peritectic steels. Silicon substantially broadens the freezing range and lengthens the mushy zone, increasing susceptibility to interdendritic cracking.
André Phillion +4 more
wiley +1 more source
Novel Spinel Li-Cr Nano-Ferrites: Structure, Morphology, and Electrical/Dielectric Properties. [PDF]
Mataev M +8 more
europepmc +1 more source
Laser welding of duplex stainless steel disrupts phase balance, promotes nitride precipitation, and reduces fatigue resistance. Postweld heat treatment restores austenite and dissolves nitrides, but the resulting crystallography and phase morphology still impair fatigue performance.
Aparecida Silva Magalhães +6 more
wiley +1 more source
Cobalt, nickel and zinc spinel ferrites with high transmittance and UV-blocking for advanced optical applications. [PDF]
El-Masry MM, Arman MM.
europepmc +1 more source
Low temperature synthesis and investigations of magnetic properties of cobalt ferrite nanoparticles
L B Jadhavar +5 more
openalex +1 more source
ABSTRACT Data from five rocket‐triggered lightning flashes are adopted to analyse the correlated transient response of buried cables and lightning channel radiations. These five flashes have the same termination point that is right above the buried cables and involve a total of 32 return strokes.
Mi Zhou +9 more
wiley +1 more source
Comparative study of the impact of heat treatment on the microstructure, morphology, optical and dielectric properties of nanostructured Co-Mn ferrite. [PDF]
Othmani J +6 more
europepmc +1 more source
This paper outlines the methodology for predicting power loss in magnetic materials. A neural network based method is introduced, which adopts a long short‐term memory network, expressing the core loss as a function of magnetic flux density in the frequency domain, temperature, frequency, and classification of the waveforms.
Dixant Bikal Sapkota +3 more
wiley +1 more source

