cs.CE · 2026-06-15 · No. 24

Computational Engineering, Finance, and Science, 2026-06-15.

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

01 — The papers

1 entries
  1. 01

    CANN-EUCLID: unsupervised constitutive artificial neural network model discovery from full-field data

    Benjamin Alheit, Siddhant Kumar, Mathias Peirlinck

    cs.CE · cs.LG · physics.comp-ph

    Constitutive artificial neural networks (CANNs) provide interpretable material model discovery, but have so far been used in stress-supervised settings based on apparent stress-strain data from homogeneous tests. Because each test samples only a narrow loading path and provides homogenized rather than local stress information, robust discovery typically requires multiple loading modes to constrain the multidimensional response. This is...

    arxiv.org/abs/2606.14565 · PDF

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