28 citations · 29 across the 2 of their papers we have counts for
6 papers
Physical deep learning based on optimal control of dynamical systems
Genki Furuhata, Tomoaki Niiyama, Satoshi Sunada
Deep learning is the backbone of artificial intelligence technologies, and it can be regarded as a kind of multilayer feedforward neural network. An essence of deep learning is inf…
Mean first passage times reconstruct the slowest relaxations in potential energy landscapes of nanoclusters
Teruaki Okushima, Tomoaki Niiyama, Kensuke S. Ikeda +1
Relaxation modes are the collective modes in which all probability deviations from equilibrium states decay with the same relaxation rates. In contrast, a first passage time is the…
Lotka-Volterra competition mechanism embedded in a decision-making method
Tomoaki Niiyama, Genki Furuhata, Atsushi Uchida +2
Decision making is a fundamental capability of living organisms, and has recently been gaining increasing importance in many engineering applications. Here, we consider a simple de…
Changes of graph structure of transition probability matrices indicate the slowest kinetic relaxations
Teruaki Okushima, Tomoaki Niiyama, Kensuke S. Ikeda +1
Graphs of the most probable transitions for a transition probability matrix, , i.e., the time evolution matrix of the transition rate matrix over a finite time interval…
Structural relaxation affecting shear transformation avalanches in metallic glasses
Tomoaki Niiyama, Masato Wakeda, Tomotsugu Shimokawa +1
Avalanche behaviors, characterized by power-law statistics and structural relaxation that induces shear localization in amorphous plasticity, play an essential role in deciding the…
Slowest kinetic modes revealed by metabasin renormalization
Teruaki Okushima, Tomoaki Niiyama, Kensuke S. Ikeda +1
Understanding the slowest relaxations of complex systems, such as relaxation of glass-forming materials, diffusion in nanoclusters, and folding of biomolecules, is important for ph…