82 citations · 454 across the 27 of their papers we have counts for
27 papers
Specific Heat Anomalies and Local Symmetry Breaking in (Anti-)Fluorite Materials: A Machine Learning Molecular Dynamics Study
Keita Kobayashi, Hiroki Nakamura, Masahiko Okumura +2
Understanding the high-temperature properties of materials with (anti-)fluorite structures is crucial for their application in nuclear reactors. In this study, we employ machine le…
Self-learning Hybrid Monte Carlo: A First-principles Approach
Yuki Nagai, Masahiro Okumura, Keita Kobayashi +1
We propose a novel approach called Self-Learning Hybrid Monte Carlo (SLHMC) which is a general method to make use of machine learning potentials to accelerate the statistical sampl…
Self-learning Monte Carlo method with Behler-Parrinello neural networks
Yuki Nagai, Masahiko Okumura, Akinori Tanaka
We propose a general way to construct an effective Hamiltonian in the Self-learning Monte Carlo method (SLMC), which speeds up Monte Carlo simulations by training an effective mode…
Emergence of -pairing ground-state in population-imbalanced attractive Fermi-gases filling orbitals on 1-D optical lattice
Keita Kobayashi, Yukihiro Ota, Masahiko Okumura +2
We explore the ground states in population-imbalanced attractive 1-D fermionic optical lattice filling orbitals over the lowest one by using the density-matrix-renormalizat…
Superconductivity in repulsively interacting fermions on a diamond chain: flat-band induced pairing
Keita Kobayashi, Masahiko Okumura, Susumu Yamada +2
To explore whether a flat-band system can accommodate superconductivity, we consider repulsively interacting fermions on the diamond chain, a simplest quasi-one-dimensional system…
Fields of View for Environmental Radioactivity
Alex Malins, Masahiko Okumura, Masahiko Machida +2
The gamma component of air radiation dose rates is a function of the amount and spread of radioactive nuclides in the environment. These radionuclides can be natural or anthropogen…