Friedrich-Alexander-Universität Erlangen-Nürnberg - FAU
Published November 8, 2024 | Version v1
Software Open

Supplementary software for "Convex neural networks learn generalized standard material models"

Authors/Creators

  • 1. ROR icon Friedrich-Alexander-Universität Erlangen-Nürnberg
  • 2. ROR icon ETH Zurich

Description

Generalized Standard Material Networks (GSMN) constitute a general machine learning framework based on convex neural networks for learning the mechanical behavior of generalized standard materials.

Files

GSMN.zip

Files (22.2 kB)

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md5:5f58b9ed4842a5dbf9f96d38c29fb2a5
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Additional details

Funding

European Commission
DISCOVER - Automated Model Discovery for Soft Matter Systems 101141626

Dates

Created
2024-11-08

Software

Programming language
Python