From the 1 of 8 linked papers with an AI index.
8 papers
When a positive SIMP density floor is not enough: solver admissibility and guarded floor selection in matrix-free 3D topology optimization
Shaoliang Yang, Jun Wang, Yunsheng Wang
The paper identifies reliability issues in matrix‑free geometric‑multigrid FGMRES solvers for 3D SIMP topology optimization and proposes a verified floor‑selection policy that uses…
Does Super-Resolution Preserve Defect Evidence? A Low-False-Call Benchmark for Semiconductor Inspection
Shaoliang Yang, Jun Wang
Super-resolution can make inspection images appear sharper without preserving the evidence needed to detect a defect. We study this failure mode with a benchmark that separates rec…
Empirical Calibration and Conditional-Reliability Diagnostics for Bearing RUL Prediction under Operating-Regime Shift
Shaoliang Yang, Jun Wang, Yunsheng Wang
Remaining useful life (RUL) estimates support reliability and maintenance decisions only if both point accuracy and prediction intervals remain trustworthy when operating condition…
IterSIMP-Ï: Evaluating LLM-Assisted Spatial Interventions in Stress-Aware Topology Optimization
Shaoliang Yang, Jun Wang, Yunsheng Wang
This paper studies whether multimodal large language models (LLMs) can serve as inspectable spatial proposal modules for stress-aware topology optimization. IterSIMP-Ï keeps the S…
Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization
Shaoliang Yang, Jun Wang, Yunsheng Wang
We present a framework in which a large language model (LLM) acts as an online adaptive controller for SIMP topology optimization, replacing conventional fixed-schedule continuatio…
A Matrix-Free Galerkin Multigrid Solver and Failure-Mode Screen for Single-GPU 3D SIMP Linear Systems
Shaoliang Yang, Jun Wang, Yunsheng Wang
Large 3D SIMP studies require repeated elasticity solves for density-dependent operators whose finest matrices are expensive to assemble and whose conditioning degrades under high…