974 citations · 1.9k across the 32 of their papers we have counts for
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cond-mat.soft2023★ 6 cited
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…
physics.app-ph2023
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…