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Yutaka Okabe

Showing results (11-20 of 17) with videos related to

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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 31, 2005
Level spectroscopy of the square-lattice three-state Potts model with a ferromagnetic next-nearest-neighbor couplingHiromi Otsuka, Koutaro Mori, Yutaka Okabe, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 17, 2013
Dynamically optimized Wang-Landau sampling with adaptive trial moves and modification factorsYang Wei Koh, Hwee Kuan Lee, Yutaka Okabe
Scientific Reports|February 9, 2020
Machine-Learning Studies on Spin ModelsKenta Shiina, Hiroyuki Mori, Yutaka Okabe, et al.
Physical Review. E|September 18, 2020
Machine-learning study using improved correlation configuration and application to quantum Monte Carlo simulationYusuke Tomita, Kenta Shiina, Yutaka Okabe, et al.
Scientific Reports|May 6, 2021
Inverse renormalization group based on image super-resolution using deep convolutional networksKenta Shiina, Hiroyuki Mori, Yusuke Tomita, et al.
Physical Review Letters|April 12, 2006
Mapping the Monte Carlo scheme to Langevin dynamics: a Fokker-Planck approachX Z Cheng, M B A Jalil, Hwee Kuan Lee, et al.
Physical Review. E|April 3, 2019
Large peaks in the entropy of the diluted nearest-neighbor spin-ice model on the pyrochlore lattice in a [111] magnetic fieldPetr Andriushchenko, Konstantin Soldatov, Alexey Peretyatko, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 31, 2005
Level spectroscopy of the square-lattice three-state Potts model with a ferromagnetic next-nearest-neighbor couplingHiromi Otsuka, Koutaro Mori, Yutaka Okabe, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 17, 2013
Dynamically optimized Wang-Landau sampling with adaptive trial moves and modification factorsYang Wei Koh, Hwee Kuan Lee, Yutaka Okabe
Scientific Reports|February 9, 2020
Machine-Learning Studies on Spin ModelsKenta Shiina, Hiroyuki Mori, Yutaka Okabe, et al.
Physical Review. E|September 18, 2020
Machine-learning study using improved correlation configuration and application to quantum Monte Carlo simulationYusuke Tomita, Kenta Shiina, Yutaka Okabe, et al.
Scientific Reports|May 6, 2021
Inverse renormalization group based on image super-resolution using deep convolutional networksKenta Shiina, Hiroyuki Mori, Yusuke Tomita, et al.
Physical Review Letters|April 12, 2006
Mapping the Monte Carlo scheme to Langevin dynamics: a Fokker-Planck approachX Z Cheng, M B A Jalil, Hwee Kuan Lee, et al.
Physical Review. E|April 3, 2019
Large peaks in the entropy of the diluted nearest-neighbor spin-ice model on the pyrochlore lattice in a [111] magnetic fieldPetr Andriushchenko, Konstantin Soldatov, Alexey Peretyatko, et al.
Pageof 2