Pages that link to "Item:Q2021918"
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The following pages link to Deep learning of thermodynamics-aware reduced-order models from data (Q2021918):
Displaying 17 items.
- On the thermodynamic interpretation of deep learning systems (Q2117965) (← links)
- The mixed deep energy method for resolving concentration features in finite strain hyperelasticity (Q2134762) (← links)
- On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling (Q2136745) (← links)
- Accelerating phase-field predictions via recurrent neural networks learning the microstructure evolution in latent space (Q2145130) (← links)
- Multiscale modeling of inelastic materials with thermodynamics-based artificial neural networks (TANN) (Q2160403) (← links)
- Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning (Q2222332) (← links)
- Learning slosh dynamics by means of data (Q2319406) (← links)
- A deep learning energy method for hyperelasticity and viscoelasticity (Q2671703) (← links)
- Deep learning for thermal plasma simulation: solving 1-D arc model as an example (Q6097959) (← links)
- A graph convolutional autoencoder approach to model order reduction for parametrized PDEs (Q6126547) (← links)
- Structure-preserving recurrent neural networks for a class of Birkhoffian systems (Q6130981) (← links)
- Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems (Q6164288) (← links)
- A thermodynamics-informed active learning approach to perception and reasoning about fluids (Q6164293) (← links)
- tLaSDI: thermodynamics-informed latent space dynamics identification (Q6588297) (← links)
- Physics-based active learning for design space exploration and surrogate construction for multiparametric optimization (Q6593783) (← links)
- PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs (Q6643563) (← links)
- GFN: a graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications (Q6643617) (← links)
