activity
20202024
most citedMachine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB Near Hydrogen Liquefaction Temperature

163 citations · 255 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2024★ 49 cited

Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Matthew L. Evans, Johan Bergsma, Andrius Merkys +56

The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enh…

cs.CL2022★ 23 cited

Automatic extraction of materials and properties from superconductors scientific literature

Luca Foppiano, Pedro Baptista de Castro, Pedro Ortiz Suarez +3

The automatic extraction of materials and related properties from the scientific literature is gaining attention in data-driven materials science (Materials Informatics). In this p…

cond-mat.mtrl-sci2022★ 7 cited

Adiabatic temperature change in ErAl2/metal PIT wires: A practical method for estimating the magnetocaloric response of magnetocaloric composites

Takafumi D. Yamamoto, Hiroyuki Takeya, Kensei Terashima +4

We report the adiabatic temperature change in ErAl2 magnetocaloric wires fabricated by a powder-in-tube (PIT) process. The adiabatic temperature change of the PIT wires is found to…

cond-mat.str-el2021

Quantum-Critical, Spin-Fluctuation-driven Residual Resistivity and Emergent Universal Correlations in the Fermi-Liquid Regime of Heavy-Fermion Superconductors

M. ElMassalami, P. B. Castro, M. B. Silva Neto

We investigate correlations within the unconventional Fermi-liquid (FL) regime of quantum-critical (QC) heavy-fermion superconductors (HFSs) by tracking the pressure dependence of…

cond-mat.mtrl-sci2020★ 13 cited

Enhancement of giant refrigerant capacity in HoGdB alloys (0.1 x 0.4)

Pedro Baptista de Castro, Kensei Terashima, Takafumi D Yamamoto +8

Intending to optimize the giant magnetocaloric properties of HoB, we synthesized and magnetocalorically characterized HoGdB(0.1 x 0.4) alloy…

cond-mat.mtrl-sci2020★ 163 cited

Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB Near Hydrogen Liquefaction Temperature

Pedro Baptista de Castro, Kensei Terashima, Takafumi D Yamamoto +8

Magnetic refrigeration exploits the magnetocaloric effect which is the entropy change upon application and removal of magnetic fields in materials, providing an alternate path for…