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List of Achievements
List of Achievements
Please visit the following "researchmap" website for our list of achievements.
Journal Articles
Journal Articles
Feature extraction and topology optimization of periodic lattice structures using extended convolutional neural network
Feature extraction and topology optimization of periodic lattice structures using extended convolutional neural network
Matsuoka, Hayashi, Ohsaki (2026)
Computers and Structures
Matrix-based shape sensitivity analysis for linear strain energy of triangular thin shell elements
Matrix-based shape sensitivity analysis for linear strain energy of triangular thin shell elements
Hayashi, Mesnil (2026)
International Journal for Numerical Methods in Engineering
Multi-layer auxetic surfaces with compliant mechanisms
Multi-layer auxetic surfaces with compliant mechanisms
Hayashi, Mesnil (2025)
Engineering Structures
Micro-macro performance of naturally aging amorphous silicon photovoltaics from {BIPV} applications
Micro-macro performance of naturally aging amorphous silicon photovoltaics from {BIPV} applications
Hu, Zhang, Zheng, Chen, Xu, Huang, Lu, Guo, Razykov, Hayashi (2025)
Progress in Photovoltaics: Research and Applications
Local search-based online learning algorithm for shape and cross-section optimization of free-form single-layer reticulated shells
Local search-based online learning algorithm for shape and cross-section optimization of free-form single-layer reticulated shells
Zeng, Ohsaki, Hayashi, Zhu, Guo (2025)
Automation in Construction
Hierarchical graph-based machine learning model for optimization of three-dimensional braced steel frame
Hierarchical graph-based machine learning model for optimization of three-dimensional braced steel frame
Kupwiwat, Hayashi, Ohsaki (2025)
Engineering Applications of Artificial Intelligence
Target shape approximation of funicular surfaces by load control using RBF interpolation
Target shape approximation of funicular surfaces by load control using RBF interpolation
Hayashi, Yanagimuro (2024)
International Journal of Space Structures
Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation
Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation
Kupwiwat, Hayashi, Ohsaki (2024)
Engineering Applications of Artificial Intelligence
Parametric generation of optimal structures through discrete exponential functions: unveiling connections between structural optimality and discrete isothermicity
Parametric generation of optimal structures through discrete exponential functions: unveiling connections between structural optimality and discrete isothermicity
Hayashi, Jikumaru, Yokosuka, Hayakawa, Kajiwara (2024)
Structural and Multidisciplinary Optimization
Deep deterministic policy gradient and graph convolutional networks for topology optimization of braced steel frames
Deep deterministic policy gradient and graph convolutional networks for topology optimization of braced steel frames
Kupwiwat, Iwagoe, Hayashi, Ohsaki (2023)
Journal of Structural Engineering B
Mean curvature flow for generating discrete surfaces with piecewise constant mean curvatures
Mean curvature flow for generating discrete surfaces with piecewise constant mean curvatures
Hayashi, Jikumaru, Ohsaki, Kagaya, Yokosuka (2023)
Computer Aided Geometric Design
Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells
Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells
Kupwiwat, Hayashi, Ohsaki (2023)
Applied Intelligence
Deep reinforcement learning-based critical element identification and demolition planning of frame structures
Deep reinforcement learning-based critical element identification and demolition planning of frame structures
Zhu, Ohsaki, Hayashi, Zong, Guo (2022)
Frontiers of Structural and Civil Engineering
Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning
Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning
Hayashi, Ohsaki, Kotera (2022)
Frontiers in Built Environment
Deep deterministic policy gradient and graph convolutional network for bracing direction optimization of grid shells
Deep deterministic policy gradient and graph convolutional network for bracing direction optimization of grid shells
Kupwiwat, Hayashi, Ohsaki (2022)
Frontiers in Built Environment
Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames
Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames
Hayashi, Ohsaki (2022)
Advances in Engineering Informatics
Machine-specified ground structures for topology optimization of binary trusses using graph embedding policy network
Machine-specified ground structures for topology optimization of binary trusses using graph embedding policy network
Zhu, Ohsaki, Hayashi, Guo (2021)
Advances in Engineering Software
Reinforcement learning for optimum design of a plane frame under static loads
Reinforcement learning for optimum design of a plane frame under static loads
Hayashi, Ohsaki (2021)
Engineering with Computers
Discrete Gaussian Curvature Flow for Piecewise Constant Gaussian Curvature Surface
Discrete Gaussian Curvature Flow for Piecewise Constant Gaussian Curvature Surface
Hayashi, Jikumaru, Ohsaki, Kagaya, Yokosuka (2021)
Computer-Aided Design
Reinforcement learning and graph embedding for binary truss topology optimization under stress and displacement constraints
Reinforcement learning and graph embedding for binary truss topology optimization under stress and displacement constraints
Hayashi, Ohsaki (2020)
Frontiers in Built Environment
FDMopt: Force density method for optimal geometry and topology of trusses
FDMopt: Force density method for optimal geometry and topology of trusses
Hayashi, Ohsaki (2019)
Advances in Engineering Software
Force density method for simultaneous optimization of geometry and topology of trusses
Force density method for simultaneous optimization of geometry and topology of trusses
Ohsaki, Hayashi (2017)
Structural and Multidisciplinary Optimization
Conference Papers
Conference Papers
Geometric design and deployment analysis for triangulated auxetic surfaces with offsets
Geometric design and deployment analysis for triangulated auxetic surfaces with offsets
Hayashi, Nagatomo, Mesnil (2025)
AAG2025
Geometry-aware reinforcement learning for assembly sequence optimization of shells composed of triangular panels
Geometry-aware reinforcement learning for assembly sequence optimization of shells composed of triangular panels
Hayashi, Ohsaki (2025)
IASS2025
Structural behavior of deployable bilayer auxetic materials: A comparison of triangular and square unit designs
Structural behavior of deployable bilayer auxetic materials: A comparison of triangular and square unit designs
Nagatomo, Hayashi, Mesnil, Ohsaki (2025)
IASS2025
Performance degradation analysis of weathering aging ethylene tetrafluoroethylene (ETFE) foils via micro-characterization
Performance degradation analysis of weathering aging ethylene tetrafluoroethylene (ETFE) foils via micro-characterization
Hu, Zhang, Chen, Beccarelli, Xu, Huang, Razykov, Hayashi (2025)
IASS2025
Comprendre les déterminants du ressenti thermique humain à l’aide de l’intelligence artificielle : une expérience participative
Comprendre les déterminants du ressenti thermique humain à l’aide de l’intelligence artificielle : une expérience participative
Migliari, Hayashi, Ulanowski, Laporte, Hendel, Despax, Chesne, Baverel (2024)
EduBIM2024
Non-developable surface structures using bilayer auxetic material and kerf bending joints
Non-developable surface structures using bilayer auxetic material and kerf bending joints
Hayashi, Mesnil (2024)
IASS2024
Topology optimization of periodic lattice structures for specified mechanical properties using machine learning considering member connectivity
Topology optimization of periodic lattice structures for specified mechanical properties using machine learning considering member connectivity
Matsuoka, Ohsaki, Hayashi (2024)
ACSMO2024
Isogeometric deep learning framework to predict the structural performance of free-form surfaces
Isogeometric deep learning framework to predict the structural performance of free-form surfaces
Hayashi, Ohsaki (2023)
IASS2023
Sizing optimization of free-form lattice shells using deep deterministic policy gradient and graph convolutional networks
Sizing optimization of free-form lattice shells using deep deterministic policy gradient and graph convolutional networks
Kupwiwat, Hayashi, Ohsaki (2023)
IASS2023
Gaussian curvature flow for constant Gaussian curvature surface with triangular mesh
Gaussian curvature flow for constant Gaussian curvature surface with triangular mesh
Ohsaki, Hayashi, Jikumaru, Kagaya, Yokosuka (2022)
IASS2022 affiliated with APCS2022
Reinforcement learning for optimal topology design of 3D trusses
Reinforcement learning for optimal topology design of 3D trusses
Hayashi, Ohsaki (2020)
IASS2020/21
Structural performance of triangular latticed shells with regularized panels for Bézier design surfaces
Structural performance of triangular latticed shells with regularized panels for Bézier design surfaces
Hayashi, Ohsaki (2018)
APCS2018
Regularization of triangular latticed shell panels for Bézier surfaces
Regularization of triangular latticed shell panels for Bézier surfaces
Hayashi, Ohsaki (2018)
IASS2018
FDMOPT: A new tool for simultaneous optimization of geometry and topology of truss structures
FDMOPT: A new tool for simultaneous optimization of geometry and topology of truss structures
Ohsaki, Hayashi, Mueller (2018)
IASS2018
Force density method for simultaneous optimization of geometry and topology of spatial trusses
Force density method for simultaneous optimization of geometry and topology of spatial trusses
Hayashi, Ohsaki, Mueller (2017)
IASS2017
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