Nachiket Gokhale

Questions about Nonlinear elasticity, PROM

15

I'm working with the nonlinear elasticity example: https://github.com/LLNL/libROM/blob/master/examples/prom/nonlinear_elasticity_global_rom.cpp https://www.librom.net/examples.html My command line is ``` ./nonlinear_elasticity_global_rom --mesh "../data/beam-hex-nurbs.mesh" --online -dt 0.01 -tf 5.0 -s 14 -vs 5 -hyp -rvdim 40 -rxdim...

Which viewer to use in Visit?

1

Which viewer should I use in Visit in order to view the HDF5 files generated in the tutorial? https://www.librom.net/poisson.html#tutorial-1

some questions about Geo-FNO

2

@zongyi-li I'm reading your paper on [learned deformations](https://arxiv.org/pdf/2207.05209.pdf). Could you please check if my following understanding is correct? In Geo-FNO, the input mesh is regarded as coming from some probability...

modernized examples

2

Are there modernized examples for the old examples in https://github.com/neuraloperator/neuraloperator/tree/master Thanks, Nachiket

Example 20.1 in FVM Book

1

I'm interested in implementing example 20.1 (solid body rotation) in Finite Volume Methods for Hyperbolic Problems, and even though the treatment in the book seems clear, my implemetation is not...

deprecation warning from tensorly

3

The following code fails ``` import torch, numpy as np from torch.utils.data import DataLoader from neuralop.datasets.tensor_dataset import TensorDataset ntrain = 100; nfeat = 2; x_torch = torch.from_numpy(np.arange(ntrain*nfeat).reshape(ntrain,nfeat)) y_torch = torch.from_numpy(np.arange(ntrain*nfeat).reshape(ntrain,nfeat))...