most citedPredicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels

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cs.LG2025

FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs

Saeed Mohammadzadeh, Erfan Hamdi, Joel Shor +1

As LLMs advance their reasoning capabilities about the physical world, the absence of rigorous benchmarks for evaluating their ability to generate scientifically valid physical mod…

cs.LG2021★ 2 cited

Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels

S. Mohammadzadeh, E. Lejeune

Using simulation to predict the mechanical behavior of heterogeneous materials has applications ranging from topology optimization to multi-scale structural analysis. However, full…