7 papers
Complex crystal structure prediction using ML-enhanced multi-minima iterative genetic algorithm
Ling Tang, Weiyi Xia, Tyler J. Slade +2
Current machine learning (ML) approaches for materials discovery rely heavily on known structural databases, limiting their ability to identify entirely novel structure types. In t…
Physical properties of RCoAl (R = Gd-Tm, Y) single crystals
Sushma Kumari, Fernando A. Garcia, Juan Schmidt +6
Rare-earth (R) based intermetallic compounds can often exhibit diverse physical properties and distinct magnetic anisotropies. A Notable example are the light rare earth members of…
Nature of quantum criticality in the Ising ferromagnet TbVSn
Tianxiong Han, R. D. McKenzie, Joanna Blawat +10
TbVSn is a topological metal where ferromagnetic Tb ions with strong uniaxial magnetic anisotropy interact with V kagome layers. Inelastic neutron scattering (INS) measurem…
Physical properties of CoAl ( La, Ce, Pr, Nd and Sm) single crystals: An emerging structure-type for anisotropic Kondo lattice studies
Fernando A. Garcia, Sushma Kumari, Juan Schmidt +5
Systematic investigations of rare-earth () based intermetallic materials are a leading strategy to reveal the underlying mechanisms governing a range of physical phenomena, such…
Use of frit-disc crucible sets to make solution growth more quantitative and versatile
Paul C. Canfield, Tyler J. Slade
The recent availability of step-edge, frit-disc crucible sets (generally sold as Canfield Crucible Sets or CCS) has led to multiple innovations associated with our group's use of s…
Machine learning accelerated prediction of Ce-based ternary compounds involving antagonistic pairs
Weiyi Xia, Wei-Shen Tee, Paul C. Canfield +6
The discovery of novel quantum materials within ternary phase spaces containing antagonistic pair such as Fe with Bi, Pb, In, and Ag, presents significant challenges yet holds grea…