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Found 4 papers, 2 papers with code
Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation
Our results indicate that increasing the size of the training set has a substantial effect on reducing performance fluctuations and overall error.
Real-Time Interactive Modeling and Simulation in Biological Physics and Active Matter with Mechanica
Modeling and simulation (M&S) has revolutionized the way modern engineered products are designed, tested and evaluated.
Deep learning approaches to surrogates for solving the diffusion equation for mechanistic real-world simulations
To improve convergence during training, we apply a training approach that uses roll-back to reject stochastic changes to the network that increase the loss function.
Using Deep LSD to build operators in GANs latent space with meaning in real space
The key point is that the set of quasi-eigenvectors form a basis set in latent space and each direction corresponds to a feature in real space.
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