308 citations · 387 across the 6 of their papers we have counts for
7 papers
Derivation of CPT resonance signals from density-matrix equations with all relevant sublevels of Cs atoms and confirmation of experimental results
K. Matsumoto, S. Kagami, T. Fujisaku +4
Coherent-population-trapping resonance is a quantum interference effect that appears in the two-photon transitions between the ground-state hyperfine levels of alkali atoms and is…
Materials development by interpretable machine learning
Yuma Iwasaki, Ryoto Sawada, Valentin Stanev +7
Machine learning technologies are expected to be great tools for scientific discoveries. In particular, materials development (which has brought a lot of innovation by finding new…
Machine-learning guided discovery of a high-performance spin-driven thermoelectric material
Yuma Iwasaki, Ichiro Takeuchi, Valentin Stanev +10
Thermoelectric conversion using Seebeck effect for generation of electricity is becoming an indispensable technology for energy harvesting and smart thermal management. Recently, t…
Damping of parametrically excited magnons in the presence of the longitudinal spin Seebeck effect
Thomas Langner, Akihiro Kirihara, Alexander A. Serga +2
The impact of the longitudinal spin Seebeck effect (LSSE) on the magnon damping in magnetic-insulator/nonmagnetic-metal bilayers was recently discussed in several reports. However,…
Thermoelectric generation based on spin Seebeck effects
Ken-ichi Uchida, Hiroto Adachi, Takashi Kikkawa +5
The spin Seebeck effect (SSE) refers to the generation of a spin current as a result of a temperature gradient in magnetic materials including insulators. The SSE is applicable to…
Flexible heat-flow sensing sheets based on the longitudinal spin Seebeck effect using one-dimensional spin-current conducting films
A. Kirihara, K. Kondo, M. Ishida +9
We demonstrated a flexible thermoelectric (TE) sheet based on the longitudinal spin Seebeck effect (LSSE) that is especially suitable for heat-flow sensing applications. This TE sh…