cs.CE · 2026-06-10 · No. 19

Computational Engineering, Finance, and Science, 2026-06-10.

2 new papers in cs.CE. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS

    Nilay Upadhyay, Wesley F. Reinhart

    cs.CE · cs.AI · cs.LG · physics.comp-ph

    Large language models can reduce the manual effort required to set up finite element simulations, but they introduce reliability risks when generated solver code lies on the critical path. We present a constrained natural-language interface for multi-physics finite element analysis in which the LLM is limited to front-end tasks: parsing prompts into structured JSON, generating Gmsh code only for non-catalog geometries, and using retry...

    arxiv.org/abs/2606.10928 · PDF

  2. 02

    Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks

    Manuel Ricardo Guevara Garban, Yves Chemisky, Étienne Prulière, Michaël Clément, Martin Abendroth, Björn Kiefer

    cs.CE · cs.LG · physics.comp-ph

    Reconstructing local stress fields in heterogeneous microstructures under non-linear, history-dependent loading remains a major computational bottleneck in multi-scale simulations. We propose a coupled LSTM-GNN framework that links the temporal and spatial aspects of local stress field reconstruction. A Long Short-Term Memory network encodes macroscopic stress-strain sequences into a compact hidden state that captures the path-dependent...

    arxiv.org/abs/2606.10909 · PDF

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