activity
20192026
most citedPeriodic structure of memory function in spintronics reservoir with feedback current

31 citations · 141 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2026

Recycling computational processes of dynamic programming for combinatorial optimization problems: a reservoir computing approach

Sora Todaka, Akihiro Yamamoto, Nozomi Akashi

Reusing previously computed results is a long-standing principle for reducing computational cost, but such reuse has largely been confined to a single problem's computation. Sharin…

nlin.CD2026

One-shot prediction of noise-induced bifurcations with reservoir computing

Nozomi Akashi, Takayuki Watanabe, Masato Hara +4

Dynamical systems can exhibit complex responses when noise is injected. In particular, dynamics can be qualitatively altered by dynamic noise, a phenomenon known as noise-induced b…

nlin.CD2025★ 1 cited

Incorporating Coupling Knowledge into Echo State Networks for Learning Spatiotemporally Chaotic Dynamics

Kuei-Jan Chu, Nozomi Akashi, Akihiro Yamamoto

Machine learning methods have shown promise in learning chaotic dynamical systems, enabling model-free short-term prediction and attractor reconstruction. However, when applied to…

cond-mat.mes-hall2024

Gradient-based optimization of spintronic devices

Yusuke Imai, Shuhong Liu, Nozomi Akashi +1

The optimization of physical parameters serves various purposes, such as system identification and efficiency in developing devices. Spin-torque oscillators have been applied to ne…

cs.NE2024★ 1 cited

Exploiting Chaotic Dynamics as Deep Neural Networks

Shuhong Liu, Nozomi Akashi, Qingyao Huang +2

Chaos presents complex dynamics arising from nonlinearity and a sensitivity to initial states. These characteristics suggest a depth of expressivity that underscores their potentia…

cs.DC2023

Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir

Thomas Geert de Jong, Nozomi Akashi, Tomohiro Taniguchi +2

We provide high-speed implementations for simulating reservoirs described by -coupled spin-torque oscillators. Here also corresponds to the number of reservoir nodes. We ben…

cs.RO2023★ 28 cited

Embedding bifurcations into pneumatic artificial muscle

Nozomi Akashi, Yasuo Kuniyoshi, Taketomo Jo +4

Harnessing complex body dynamics has been a long-standing challenge in robotics. Soft body dynamics is a typical example of high complexity in interacting with the environment. An…

cond-mat.mes-hall2020★ 27 cited

Step-like dependence of memory function on pulse width in spintronics reservoir computing

Terufumi Yamaguchi, Nozomi Akashi, Kohei Nakajima +3

Physical reservoir computing is a type of recurrent neural network that applies the dynamical response from physical systems to information processing. However, the relation betwee…

cond-mat.mes-hall2020★ 31 cited

Periodic structure of memory function in spintronics reservoir with feedback current

Terufumi Yamaguchi, Nozomi Akashi, Sumito Tsunegi +3

The role of the feedback effect on physical reservoir computing is studied theoretically by solving the vortex-core dynamics in a nanostructured ferromagnet. Although the spin-tran…

cond-mat.mes-hall2019★ 28 cited

Synchronization and chaos in a spin-torque oscillator with a perpendicularly magnetized free layer

Terufumi Yamaguchi, Nozomi Akashi, Kohei Naka jima +3

Synchronization and chaos caused by alternating current and microwave field in a spin torque oscillator consisting of a perpendicularly magnetized free layer and an in-plane magnet…

cond-mat.mes-hall2019★ 25 cited

Chaos in nanomagnet via feedback current

Tomohiro Taniguchi, Nozomi Akashi, Hirofumi Notsu +3

Nonlinear magnetization dynamics excited by spin-transfer effect with feedback current is studied both numerically and analytically. The numerical simulation of the Landau-Lifshitz…