Pages that link to "Item:Q2237265"
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The following pages link to Efficient data structures for model-free data-driven computational mechanics (Q2237265):
Displaying 25 items.
- Simple heuristic for data-driven computational elasticity with material data involving noise and outliers: a local robust regression approach (Q1630228) (← links)
- Model-free data-driven computational mechanics enhanced by tensor voting (Q2020810) (← links)
- A multi-level method for data-driven finite element computations (Q2021891) (← links)
- Data-driven finite element computation of open-cell foam structures (Q2083120) (← links)
- An investigation on the coupling of data-driven computing and model-driven computing (Q2138815) (← links)
- Data driven approach in multiphysics framework: application to coupled electro-mechanical problems (Q2142152) (← links)
- Model-free data-driven simulation of inelastic materials using structured data sets, tangent space information and transition rules (Q2171494) (← links)
- Accelerating the distance-minimizing method for data-driven elasticity with adaptive hyperparameters (Q2171513) (← links)
- A framework for data-driven analysis of materials under uncertainty: countering the curse of dimensionality (Q2309861) (← links)
- Data driven computing with noisy material data sets (Q2310080) (← links)
- Data-driven computational mechanics (Q2417698) (← links)
- Model-free data-driven inference in computational mechanics (Q2679455) (← links)
- Model-free and prior-free data-driven inference in mechanics (Q2679811) (← links)
- Distance-preserving manifold denoising for data-driven mechanics (Q2683440) (← links)
- Model-free data-driven identification algorithm enhanced by local manifold learning (Q2692900) (← links)
- Model-free data-driven inelasticity in Haigh-Westergaard space -- a study how to obtain data points from measurements (Q6084497) (← links)
- Interatomic-potential-free, data-driven molecular dynamics (Q6096466) (← links)
- Adaptive goal-oriented data sampling in data-driven computational mechanics (Q6101886) (← links)
- Deep learning framework for multiscale finite element analysis based on data-driven mechanics and data augmentation (Q6171158) (← links)
- A data-driven approach for plasticity using history surrogates: theory and application in the context of truss structures (Q6171168) (← links)
- Quantum computing enhanced distance-minimizing data-driven computational mechanics (Q6185236) (← links)
- Data-driven games in computational mechanics (Q6194161) (← links)
- Extraction of uniaxial stress-strain curve from bending test using DIC measurements (Q6558195) (← links)
- Data-driven micromorphic mechanics for materials with strain localization (Q6588342) (← links)
- Data-driven methods for computational mechanics: a fair comparison between neural networks based and model-free approaches (Q6609807) (← links)