Investigation on optimal microstructure of dual-phase steel with high strength and ductility by machine learning. - Misato Suzuki; Kazuyuki Shizawa; Mayu Muramatsu (CoRR, 2024)

Development of a conditional diffusion model to predict process parameters and microstructures of dendrite crystals of matrix resin based on mechanical properties. - Arisa Ikeda; Ryo Higuchi; Tomohiro Yokozeki; Katsuhiro Endo; Yuta Kojima; Misato Suzuki; Mayu Muramatsu (CoRR, 2024)

An Ising Machine Formulation for Design Updates in Topology Optimization of Flow Channels. - Yudai Suzuki; Shiori Aoki; Fabian Key; Katsuhiro Endo; Yoshiki Matsuda; Shu Tanaka; Marek Behr; Mayu Muramatsu (CoRR, 2024)

Dislocation-based crystal plasticity simulation on grain-size dependence of mechanical properties in dual-phase steels. - Misato Suzuki; Mayu Muramatsu; Kazuyuki Shizawa (CoRR, 2024)

A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains. - Yusuke Yamazaki; Ali Harandi; Mayu Muramatsu; Alexandre Viardin; Markus Apel; Tim Brepols; Stefanie Reese; Shahed Rezaei (Eng. Comput., 2025)

A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries. - Reza Najian Asl; Yusuke Yamazaki; Kianoosh Taghikhani; Mayu Muramatsu; Markus Apel; Shahed Rezaei (CoRR, 2025)