Kazuki Hayashi
- (2022): Deep deterministic policy gradient and graph convolutional network for bracing direction optimization of grid shells. In: Frontiers in Built Environment, v. 8 (Februar 2022).
- (2020): Reinforcement Learning and Graph Embedding for Binary Truss Topology Optimization Under Stress and Displacement Constraints. In: Frontiers in Built Environment, v. 6 (Januar 2020).
- (2017): Force density method for simultaneous optimization of geometry and topology of spatial trusses. Vorgetragen bei: Interfaces: Architecture, Engineering, Science, Annual Meeting of the International Association of Shell & Spatial Structures (IASS), Hamburg, 25-27 September 2017.
Structurae kooperiert mit
