Overview

Topology optimization determines where material should be placed or removed to improve goals such as stiffness, vibration control, heat transfer, or actuator motion while respecting constraints. Established approaches include density-based SIMP, level-set methods, and evolutionary methods such as BESO, typically paired with finite-element analysis and sensitivity-based optimization. Newer work uses neural surrogates, graph models, and generative methods to speed up or automate design, and extends optimization to multiple materials, coupled physics, and robotic co-design. A central challenge is achieving speed and generalization without sacrificing physical accuracy, robustness, manufacturability, or fair comparison with well-tuned classical solvers.

Latest papers

CardsList

34 papers6 papers in the last four weeks, up 20% on the four weeks before. 0.0% of all new papers.

  1. Unsupervised Surrogate-Assisted Synthesis of Free-Form Planar Antenna Topologies for IoT Applications

    Mar 4, 2026Khadijeh Askaripour, Adrian Bekasiewicz, Slawomir KozielTopology OptimizationSurrogate-Assisted Optimization

  2. TopoEdit: Fast Post-Optimization Editing of Topology Optimized Structures

    Feb 25, 2026Hongrui Chen, Josephine V. Carstensen, Faez AhmedTopology Optimization

  3. Multi-material Multi-physics Topology Optimization with Physics-informed Gaussian Process Priors

    Feb 19, 2026Xiangyu Sun, Shirin Hosseinmardi, Amin Yousefpour +1Topology OptimizationPhysics-Informed ML

  4. Soft Pneumatic Grippers: Topology optimization, 3D-printing and Experimental validation

    Nov 24, 2025Prabhat Kumar, Chandra Prakash, Josh Pinskier +2Topology OptimizationMechanism Design