671 citations · 921 across the 16 of their papers we have counts for
16 papers
Super-resolution of spin configurations based on flow-based generative models
Kenta Shiina, Lee Hwee Kuan, Hiroyuki Mori +2
We present a super-resolution method for spin systems using a flow-based generative model that is a deep generative model with reversible neural network architecture. Starting from…
Weakly-supervised learning on Schrodinger equation
Kenta Shiina, Hwee Kuan Lee, Yutaka Okabe +1
We propose a machine learning method to solve Schrodinger equations for a Hamiltonian that consists of an unperturbed Hamiltonian and a perturbation. We focus on the cases where th…
Inverse Renormalization Group based on Image Super-Resolution using Deep Convolutional Networks
Kenta Shiina, Hiroyuki Mori, Yusuke Tomita +2
The inverse renormalization group is studied based on the image super-resolution using the deep convolutional neural networks. We consider the improved correlation configuration in…
Machine-Learning Studies on Spin Models
Kenta Shiina, Hiroyuki Mori, Yutaka Okabe +1
With the recent developments in machine learning, Carrasquilla and Melko have proposed a paradigm that is complementary to the conventional approach for the study of spin models. A…
Effect of line tension on axisymmetric nanoscale capillary bridges at the liquid-vapor equilibrium
Masao Iwamatsu, Hiroyuki Mori
The effect of line tension on the axisymmetric nanoscale capillary bridge between two identical substrates with convex, concave and flat geometry at the liquid-vapor equilibrium is…
Mott Plateau in Trapped Bose-Fermi Mixture
Akiko Masaki, Sota Tsukada, Hiroyuki Mori
Boson-Fermion mixture confined on an optical lattice is numerically studied. Mott-plateau like behavior is observed under certain conditions in the density profile of the bosons an…