Mayu Muramatsu

According to our database, Mayu Muramatsu authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Adaptive Encoding Strategy for Quantum Annealing in Mixed-Variable Engineering Optimization.

Fabian Key, Lukas Freinberger, Mayu Muramatsu, Norbert Hosters

CoRR, March, 2026

Tackling multiphysics problems via finite element-guided physics-informed operator learning.

Yusuke Yamazaki, Reza Najian Asl, Markus Apel, Mayu Muramatsu, Shahed Rezaei

CoRR, March, 2026

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

Eng. Comput., February, 2026

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, April, 2025

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., February, 2025

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

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

Investigation on optimal microstructure of dual-phase steel with high strength and ductility by machine learning.

Misato Suzuki, Kazuyuki Shizawa, Mayu Muramatsu

CoRR, 2024