4 citations · 9 across the 5 of their papers we have counts for
6 papers
A Scalable Configuration-Interaction Impurity Solver via Active Learning
Jeongmoo Lee, Ara Go
Finite-Hamiltonian impurity solvers provide direct real-frequency spectra and a natural route to enlarged impurity Hamiltonians, but their applicability is limited by the rapid Hil…
Data-Driven Bath Fitting for Hamiltonian-Diagonalization Dynamical Mean-Field Theory
Taeung Kim, Jeongmoo Lee, Ara Go
We propose a machine-learning-based initialization method to overcome the nonlinear bath-fitting bottleneck in Hamiltonian-diagonalization-based dynamical mean-field theory (HD-DMF…
High-resolution neutron diffraction determination of noncollinear antiferromagnetic order in the honeycomb magnetoelectric FeNbO
Raktim Datta, Kapil Kumar, Dong Gun Oh +7
Magnetoelectric systems offer potential for device applications exploiting coupled states between electric and magnetic properties. Among magnetoelectric materials, \FNO has attrac…
Intertwined Orders in a Quantum-Entangled Metal
Junyoung Kwon, Jaehwon Kim, Gwansuk Oh +18
Entanglement underpins quantum information processing and computing, yet its experimental quantification in complex, many-body condensed matter systems remains a considerable chall…
Neural network-based recognition of multiple nanobubbles in graphene
Subin Kim, Nojoon Myoung, Seunghyun Jun +1
We present a machine learning method for swiftly identifying nanobubbles in graphene, crucial for understanding electronic transport in graphene-based devices. Nanobubbles cause lo…
Emergent Quantum Phenomena of Noncentrosymmetric Charge-Density Wave in 1T-Transition Metal Dichalcogenides
Cheong-Eung Ahn, Kyung-Hwan Jin, Young-Jae Choi +5
1T-transition metal dichalcogenides (TMD) have been an exciting platform for exploring the intertwinement of charge density waves and strong correlation phenomena. While the David…