A trajectory-aware flow matching method that builds its training path from volume-fraction-indexed BESO states generates feasible topologies in about 20 Euler steps and beats a diffusion baseline on compliance, volume fraction, and fidelity.
Title resolution pending
1 Pith paper cite this work, alongside 563 external citations. Polarity classification is still indexing.
1
Pith paper citing it
563
external citations · OpenAlex
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Trajectory-Aware Flow Matching for Topology Optimisation
A trajectory-aware flow matching method that builds its training path from volume-fraction-indexed BESO states generates feasible topologies in about 20 Euler steps and beats a diffusion baseline on compliance, volume fraction, and fidelity.