Pages that link to "Item:Q2237430"
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The following pages link to Learning nonlocal constitutive models with neural networks (Q2237430):
Displaying 20 items.
- Learning constitutive relations from indirect observations using deep neural networks (Q781968) (← links)
- Active learning of constitutive relation from mesoscopic dynamics for macroscopic modeling of non-Newtonian flows (Q1656614) (← links)
- Data-driven learning of nonlocal physics from high-fidelity synthetic data (Q2021231) (← links)
- Frame-independent vector-cloud neural network for nonlocal constitutive modeling on arbitrary grids (Q2060111) (← links)
- Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: extension to geometrical parameterizations (Q2096859) (← links)
- Constitutive artificial neural networks: a fast and general approach to predictive data-driven constitutive modeling by deep learning (Q2120033) (← links)
- A neural network closure for the Euler-Poisson system based on kinetic simulations (Q2122778) (← links)
- Multiscale modeling of inelastic materials with thermodynamics-based artificial neural networks (TANN) (Q2160403) (← links)
- Physics-informed multi-LSTM networks for metamodeling of nonlinear structures (Q2236167) (← links)
- Learning nonlocal constitutive models with neural networks (Q2237430) (← links)
- A nonlocal physics-informed deep learning framework using the peridynamic differential operator (Q2237731) (← links)
- Deep autoencoders for physics-constrained data-driven nonlinear materials modeling (Q2237774) (← links)
- Learning viscoelasticity models from indirect data using deep neural networks (Q2246355) (← links)
- Ensemble Kalman method for learning turbulence models from indirect observation data (Q5038553) (← links)
- Frame Invariance and Scalability of Neural Operators for Partial Differential Equations (Q5106293) (← links)
- A data‐driven bond‐based peridynamic model derived from group method of data handling neural network with genetic algorithm (Q6092283) (← links)
- An equivariant neural operator for developing nonlocal tensorial constitutive models (Q6162914) (← links)
- Learning about structural errors in models of complex dynamical systems (Q6572173) (← links)
- Machine learning predictive model for dynamic response of rising bubbles impacting on a horizontal wall (Q6588314) (← links)
- Differentiability in unrolled training of neural physics simulators on transient dynamics (Q6663245) (← links)
