activity
20222025
most citedTunable magnetic and magnetocaloric properties by thermal annealing in ErCo2 atomized particles

7 citations · 26 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.str-el2025★ 1 cited

Highly anisotropic magnetic phase diagram of the ferromagnetic rare-earth diboride HoB

Takafumi D. Yamamoto, Hiroyuki Takeya, Kensei Terashima +2

Rare-earth (RE) compounds have been of enormous interest in condensed matter physics as a platform for the exploration of interesting physical phenomena. Here, we report the succes…

cond-mat.supr-con2024

Pressure-induced anomalous enhancement in superconducting critical temperature of transition-metal chalcogenide TaPdS and TaPdSe

Ryo Matsumoto, Akitoshi Nakano, Takafumi D Yamamoto +5

The emergence of a second dome in the superconducting phase through pressure-driven manipulation of crystal structures in materials has attracted considerable attention. Transition…

cond-mat.mtrl-sci2023★ 5 cited

Experimental exploration of ErB and SHAP analysis on a machine-learned model of magnetocaloric materials for materials design

Kensei Terashima, Pedro Baptista de Castro, Akiko T Saito +4

Stimulated by a recent report of a giant magnetocaloric effect in HoB found via machine-learning predictions, we have explored the magnetocaloric properties of a related compou…

cond-mat.mtrl-sci2022★ 7 cited

Tunable magnetic and magnetocaloric properties by thermal annealing in ErCo2 atomized particles

Takafumi D. Yamamoto, Akiko T. Saito, Hiroyuki Takeya +3

Processing magnetocaloric materials into magnetic refrigerants with appropriate shapes is essential for the development of magnetic refrigeration systems. In this context, the impa…

cond-mat.mtrl-sci2022★ 5 cited

Magnetic, thermal, and magnetocaloric properties of the holmium trialuminide HoAl with polytypic phases

Takafumi D. Yamamoto, Pedro Baptista de Castro, Kensei Terashima +3

We investigate the magnetic, thermal, and magnetocaloric properties of the intermetallic HoAl compounds with two different crystal structures. The room-temperature equilibriu…

cond-mat.mtrl-sci2022★ 1 cited

Neural networks for a quick access to a digital twin of scanning physical properties measurements

Kensei Terashima, Pedro Baptista de Castro, Miren Garbiñe Esparza Echevarria +5

For performing successful measurements within limited experimental time, efficient use of preliminary data plays a crucial role. This work shows that a simple feedforward type neur…