Accelerating metamaterial topology optimization using deep super-resolution networks

Documenti analoghi

• A dual physics-informed neural network for topology optimization
  di: Singh, Ajendra, et al.
  Pubblicazione: (2024)
• Physics-guided hierarchical neural networks for Maxwell's equations in plasmonic metamaterials
  di: Lynch, Sean, et al.
  Pubblicazione: (2025)
• Reconfigurable topological valley-Hall interfaces: Asymptotics of arrays of Dirichlet and Neumann inclusions for multiple scattering in metamaterials
  di: Wiltshaw, Richard, et al.
  Pubblicazione: (2026)
• Exploiting network optimization stability for enhanced PET image denoising using deep image prior
  di: Hashimoto, Fumio, et al.
  Pubblicazione: (2025)
• Deep neural networks for the prediction of the optical properties and the free-form inverse design of metamaterials
  di: Gahlmann, Timo, et al.
  Pubblicazione: (2022)