4 papers · 1 filter
Machine learning-based determination of magnetic parameters from magnetic images with different imaging scales
Akito Watanabe, Yoshinobu Nakatani, Hiroyuki Awano +1
The determination of material parameters is significantly important in material science, which is often a challenging task. Recently, advancements have shown that magnetic paramete…
Significant improvement in sensitivity of an anomalous Nernst heat flux sensor by composite structure
Hiroto Imaeda, Reiji Toida, Tsunehiro Takeuchi +2
Heat flux sensors (HFS) have attracted significant interest for their potential in managing waste heat efficiently. A recently proposed HFS, that works on the basis of the anomalou…
Maximizing bipolar sensitivity for anomalous Nernst thermopiles in heat flux sensing in amorphous GdCo alloys
Miho Odagiri, Hiroto Imaeda, Ahmet Yagmur +4
A Heat Flux Sensor (HFS) facilitates the visualization of heat flow, unlike a temperature sensor, and is anticipated to be a key technology in managing waste heat. Recently, an HFS…
Coexistence of large anomalous Nernst effect and large coercive force in amorphous ferrimagnetic TbCo alloy films
Miho Odagiri, Hiroto Imaeda, Ahmet Yagmur +4
The Anomalous Nernst Effect (ANE) has garnered significant interest for practical applications, particularly in energy harvesting and heat flux sensing. For these applications, it…