625 citations · 844 across the 11 of their papers we have counts for
11 papers
Investigation of the mechanism of the anomalous Hall effects in Cr2Te3/(BiSb)2(TeSe)3 heterostructure
Seong Won Cho, In Hak Lee, Youngwoong Lee +8
The interplay between ferromagnetism and the non-trivial topology has unveiled intriguing phases in the transport of charges and spins. For example, it is consistently observed the…
E-beam-enhanced solid-state mechanical amorphization of alpha-quartz: Reducing deformation barrier via localized excess electrons as mobile anions
Sung-Gyu Kang, Wonseok Jeong, Hwangsun Kim +4
Under hydrostatic pressure, alpha-quartz undergoes solid-state mechanical amorphization wherein the interpenetration of SiO4 tetrahedra occurs and the material loses crystallinity.…
construction of full phase diagram of MgO-CaO eutectic system using neural network interatomic potentials
Kyeongpung Lee, Yutack Park, Seungwu Han
While several studies confirmed that machine-learned potentials (MLPs) can provide accurate free energies for determining phase stabilities, the abilities of MLPs for efficiently c…
Tailoring topological Hall effect in SrRuO3/SrTiO3 superlattices
Seong Won Cho, Seung Gyo Jeong, Hee Young Kwon +7
Investigating the effects of the complex magnetic interactions on the formation of nontrivial magnetic phases enables a better understanding of magnetic materials. Moreover, an eff…
Accelerated identification of equilibrium structures of multicomponent inorganic crystals using machine learning potentials
Sungwoo Kang, Wonseok Jeong, Changho Hong +3
The discovery of new multicomponent inorganic compounds can provide direct solutions to many scientific and engineering challenges, yet the vast size of the uncharted material spac…
Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials
Dongsun Yoo, Jisu Jung, Wonseok Jeong +1
The universal mathematical form of machine-learning potentials (MLPs) shifts the core of development of interatomic potentials to collecting proper training data. Ideally, the trai…