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Published May 28, 2024 | Version v1.0.0
Software Open

"CalibrationPINN: Physics-informed neural networks for model calibration"

Authors/Creators

  • 1. Technische Universität Braunschweig

Description

"The research code CalibrationPINN provides a framework for the calibration of constitutive models from full-field displacement data. This code repository also provides the software for the corresponding scientific publications (see README.md file for more information)."

Notes

"If you use this software, please cite it using the metadata from this file.""

Files

david-anton/CalibrationPINN-v1.0.0.zip

Files (339.7 kB)

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Additional details

Related works

Is metadata for
Preprint: 10.48550/arXiv.2405.18311 (DOI)
Is supplement to
Software: https://github.com/david-anton/CalibrationPINN/tree/v1.0.0 (URL)
Requires
Dataset: 10.5281/zenodo.11257192 (DOI)