Neural reparameterization in latent space significantly improves gradient-free topology optimization efficiency.
Pre-trained neural reparameterization in latent space significantly improves gradient-free topology optimization efficiency.
Neural reparameterization in latent space significantly improves gradient-free topology optimization efficiency.
This paper introduces TOPress3D, an open-source MATLAB code for 3D topology optimization of structures subject to design-dependent pressure loads, aiming to provide an accessible and pedagogical tool for students, researchers, and newcomers in the field.
This paper introduces a parallel solver that efficiently optimizes material distribution for heat transfer in high-resolution, high-contrast scenarios by combining an interpolation technique with a robust multiscale multigrid preconditioner.
GridapTopOpt.jl is a new Julia package that simplifies level set-based topology optimization, offering scalability for large problems and user-friendliness for both beginners and experts.
GridapTopOpt.jlは、レベルセットベースのトポロジー最適化問題を解決するためのスケーラブルで拡張性の高いJuliaツールボックスであり、直感的なインターフェース、自動微分、並列計算機能を提供し、大規模で複雑な問題への対応を容易にする。
GridapTopOpt.jl은 Julia로 작성된 레벨셋 기반 위상 최적화를 위한 확장 가능한 프레임워크로, 개인용 컴퓨터 또는 고성능 컴퓨팅 클러스터에서 쉽게 배포하여 사용할 수 있으며, 사용자 친화적인 인터페이스와 자동 미분 기능을 제공하여 다양한 위상 최적화 문제를 효율적으로 해결할 수 있습니다.