
"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)."
"If you use this software, please cite it using the metadata from this file.""
physics-informed neural networks, model calibration, Bayesian statistical inference, deterministic calibration, full-field data
physics-informed neural networks, model calibration, Bayesian statistical inference, deterministic calibration, full-field data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
