3 papers
cond-mat.stat-mech2020
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…
cond-mat.str-el2018
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…
cond-mat.stat-mech2018
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…