38 citations · 62 across the 9 of their papers we have counts for
6 papers · 1 filter
Dislocation-based crystal plasticity simulation on grain-size dependence of mechanical properties in dual-phase steels
Misato Suzuki, Mayu Muramatsu, Kazuyuki Shizawa
In this study, the effect of ferrite grain size on the mechanical properties and dislocation behavior of dual-phase (DP) steel is investigated using dislocation-based crystal plast…
An Ising Machine Formulation for Design Updates in Topology Optimization of Flow Channels
Yudai Suzuki, Shiori Aoki, Fabian Key +5
Topology optimization is an essential tool in computational engineering, for example, to improve the design and efficiency of flow channels. At the same time, Ising machines, inclu…
Implementation of spectral methods on Ising machines: toward flow simulations on quantum annealer
Kenichiro Takagi, Naoki Moriya, Shiori Aoki +3
We investigate the possibility and current limitations of flow computations using quantum annealers by solving a fundamental flow problem on Ising machines. As a fundamental proble…
Conditional diffusion model for inverse prediction of process parameters and dendritic microstructures from mechanical properties
Arisa Ikeda, Ryo Higuchi, Tomohiro Yokozeki +4
In this study, we develop a conditional diffusion model that proposes the optimal process parameters and predicts the microstructure for the desired mechanical properties. In mater…
Investigation on optimal microstructure of dual-phase steel with high strength and ductility by machine learning
Misato Suzuki, Kazuyuki Shizawa, Mayu Muramatsu
In this study, we developed an inverse analysis framework that proposes a microstructure for dual-phase (DP) steel that exhibits high strength and ductility. The inverse analysis m…
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
Yusuke Yamazaki, Ali Harandi, Mayu Muramatsu +5
We propose a novel finite element-based physics-informed operator learning framework that allows for predicting spatiotemporal dynamics governed by partial differential equations (…