144 citations · 148 across the 7 of their papers we have counts for
4 papers · 1 filter
Uncertainty quantification in model discovery by distilling interpretable material constitutive models from Gaussian process posteriors
David Anton, Henning Wessels, Ulrich Römer +2
Constitutive model discovery refers to the task of identifying an appropriate model structure, usually from a predefined model library, while simultaneously inferring its material…
Unsupervised Constitutive Model Discovery from Sparse and Noisy Data
Vahab Knauf Narouie, Jorge-Humberto Urrea-Quintero, Fehmi Cirak +1
Recently, unsupervised constitutive model discovery has gained attention through frameworks based on the Virtual Fields Method (VFM), most prominently the EUCLID approach. However,…
Automated Constitutive Model Discovery by Pairing Sparse Regression Algorithms with Model Selection Criteria
Jorge-Humberto Urrea-Quintero, David Anton, Laura De Lorenzis +1
The automated discovery of constitutive models from data has recently emerged as a promising alternative to the traditional model calibration paradigm. In this work, we present a f…
Drivetrain simulation using variational autoencoders
Pallavi Sharma, Jorge-Humberto Urrea-Quintero, Bogdan Bogdan +4
This work proposes variational autoencoders (VAEs) to predict a vehicle's jerk signals from torque demand in the context of limited real-world drivetrain datasets. We implement bot…