2 citations · 2 across the 4 of their papers we have counts for
4 papers
Rapid and Robust construction of an ML-ready peak feature table from X-ray diffraction data using Bayesian peak-top fitting
Ryo Murakami, Taisuke T. Sasaki, Hideki Yoshikawa +5
To advance the development of materials through data-driven scientific methods, appropriate methods for building machine learning (ML)-ready feature tables from measured and comput…
Bayesian inference to identify crystalline structures for XRD
Ryo Murakami, Yoshitaka Matsushita, Kenji Nagata +2
Crystalline phase structure is essential for understanding the performance and properties of a material. Therefore, this study identified and quantified the crystalline phase struc…
Oscillations in Spurious States of the Associative Memory Model with Synaptic Depression
Shin Murata, Yosuke Otsubo, Kenji Nagata +1
The associative memory model is a typical neural network model, which can store discretely distributed fixed-point attractors as memory patterns. When the network stores the memory…
Instabilities in associative memory model with synaptic depression and switching phenomena among attractors
Yosuke Otsubo, Kenji Nagata, Masafumi Oizumi +1
We investigated how the stability of macroscopic states in the associative memory model is affected by synaptic depression. To this model, we applied the dynamical mean-field theor…