974 citations · 1.9k across the 32 of their papers we have counts for
32 papers
Distinct memory properties in spin-wave reservoir computing based on synthetic antiferromagnet
Takumu Shinkai, Satoshi Iihama, Kensuke Hayashi +3
Spin-wave-based physical reservoir computing (RC) is a promising candidate for energy-efficient physical implementations of artificial intelligence because of its potential for nan…
Estimation of spatial and time scales of collective behaviors of active matters through learning hydrodynamic equations from particle dynamics
Bappaditya Roy, Natsuhiko Yoshinaga
We present a data-driven framework for learning hydrodynamic equations from particle-based simulations of active matter. Our method leverages coarse-graining in both space and time…
Dynamic control of self-assembly of quasicrystalline structures through reinforcement learning
Uyen Tu Lieu, Natsuhiko Yoshinaga
We propose reinforcement learning to control the dynamical self-assembly of the dodecagonal quasicrystal (DDQC) from patchy particles. The patchy particles have anisotropic interac…
Universal scaling between wave speed and size enables nanoscale high-performance reservoir computing based on propagating spin-waves
Satoshi Iihama, Yuya Koike, Shigemi Mizukami +1
Neuromorphic computing using spin waves is promising for high-speed nanoscale devices, but the realization of high performance has not yet been achieved. Here we show, using microm…
Inverse problems of inhomogeneous fracture toughness using phase-field models
Yueyuan Gao, Natsuhiko Yoshinaga
We propose inverse problems of crack propagation using the phase-field models. First, we study the crack propagation in an inhomogeneous media in which fracture toughness varies in…
Formation and Fluctuation of Two-dimensional Dodecagonal Quasicrystal
Uyen Tu Lieu, Natsuhiko Yoshinaga
The self-assembly of two-dimensional dodecagonal quasicrystal (DDQC) from patchy particles are investigated by Brownian dynamics simulations. The patchy particle has a five-fold ro…