Pages that link to "Item:Q4995007"
From MaRDI portal
The following pages link to Deep Learning in Computational Mechanics (Q4995007):
Displaying 15 items.
- Finite electro-elasticity with physics-augmented neural networks (Q2083132) (← links)
- A physics-informed learning approach to Bernoulli-type free boundary problems (Q2107176) (← links)
- Physics informed neural networks for continuum micromechanics (Q2138812) (← links)
- Scientific machine learning through physics-informed neural networks: where we are and what's next (Q2162315) (← links)
- Computational mechanics enhanced by deep learning (Q2310108) (← links)
- A surrogate model for the prediction of permeabilities and flow through porous media: a machine learning approach based on stochastic Brownian motion (Q6044223) (← links)
- A comparative study on different neural network architectures to model inelasticity (Q6082629) (← links)
- On the use of neural networks for full waveform inversion (Q6096500) (← links)
- Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria (Q6121688) (← links)
- \(r\)-adaptive deep learning method for solving partial differential equations (Q6144172) (← links)
- Optimization of physics-informed neural networks for solving the nolinear Schrödinger equation (Q6204256) (← links)
- Nonlinear electro-elastic finite element analysis with neural network constitutive models (Q6497139) (← links)
- Physics-informed deep learning of rate-and-state fault friction (Q6595877) (← links)
- An Eulerian constitutive model for rate-dependent inelasticity enhanced by neural networks (Q6595904) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
