20 citations · 27 across the 2 of their papers we have counts for
6 papers
Emergence of a finite-size-scaling function in the supervised learning of the Ising phase transition
Dongkyu Kim, Dong-Hee Kim
We investigate the connection between the supervised learning of the binary phase classification in the ferromagnetic Ising model and the standard finite-size-scaling theory of the…
Logarithmic finite-size scaling correction to the leading Fisher zeros in the p-state clock model: A higher-order tensor renormalization group study
Seongpyo Hong, Dong-Hee Kim
We investigate the finite-size-scaling (FSS) behavior of the leading Fisher zero of the partition function in the complex temperature plane in the -state clock models of a…
Typical growth behavior of the out-of-time-ordered commutator in many-body localized systems
J. Lee, D. Kim, D. -H. Kim
We investigate the typicality of the growth behavior of the out-of-time-ordered commutator (OTOC) in the many-body localized (MBL) quantum spin chains across random disorder realiz…
Smallest Neural Network to Learn the Ising Criticality
Dongkyu Kim, Dong-Hee Kim
Learning with an artificial neural network encodes the system behavior in a feed-forward function with a number of parameters optimized by data-driven training. An open question is…
First-order transitions and thermodynamic properties in the 2D Blume-Capel model: the transfer-matrix method revisited
Moonjung Jung, Dong-Hee Kim
We investigate the first-order transition in the spin-1 two-dimensional Blume-Capel model in square lattices by revisiting the transfer-matrix method. With large strip widths incre…
Topological transitions of gapless paired states in mixed-geometry lattices
Dong-Hee Kim, Joel S. J. Lehikoinen, Päivi Törmä
We propose a mixed-geometry system of fermionic species selectively confined in lattices of different geometry. We investigate how such asymmetry can lead to exotic multiband fermi…