polymathic-ai / FNO-acoustic_scattering_maze

huggingface.co
Total runs: 28
24-hour runs: 0
7-day runs: -2
30-day runs: 15
Model's Last Updated: March 28 2025

Introduction of FNO-acoustic_scattering_maze

Model Details of FNO-acoustic_scattering_maze

Benchmarking Models on the Well

The Well is a 15TB dataset collection of physics simulations. This model is part of the models that have been benchmarked on the Well.

The models have been trained for a fixed time of 12 hours or up to 500 epochs, whichever happens first. The training was performed on a NVIDIA H100 96GB GPU. In the time dimension, the context length was set to 4. The batch size was set to maximize the memory usage. We experiment with 5 different learning rates for each model on each dataset. We use the model performing best on the validation set to report test set results.

The reported results are here to provide a simple baseline. They should not be considered as state-of-the-art . We hope that the community will build upon these results to develop better architectures for PDE surrogate modeling.

Fourier Neural Operator

Implementation of the Fourier Neural Operator provided by neuraloperator v0.3.0 .

Model Details

For benchmarking on the Well, we used the following parameters.

Parameters Values
Modes 16
Blocks 4
Hidden Size 128
Trained Model Versions

Below is the list of checkpoints available for the training of FNO on different datasets of the Well.

Dataset Best Learning Rate Epochs VRMSE
acoustic_scattering_maze 1E-3 27 0.5033
active_matter 5E-3 239 0.3157
convective_envelope_rsg 1E-4 14 0.0224
gray_scott_reaction_diffusion 1E-3 46 0.2044
helmholtz_staircase 5E-4 132 0.00160
MHD_64 5E-3 170 0.3352
planetswe 5E-4 49 0.0855
post_neutron_star_merger 5E-4 104 0.4144
rayleigh_benard 1E-4 32 0.6049
rayleigh_taylor_instability 5E-3 177 0.4013
shear_flow 1E-3 24 0.4450
supernova_explosion_64 1E-4 40 0.3804
turbulence_gravity_cooling 1E-4 13 0.2381
turbulent_radiative_layer_2D 5E-3 500 0.4906
viscoelastic_instability 5E-3 205 0.7195
Loading the model from Hugging Face

To load the FNO model trained on the acoustic_scattering_maze of the Well, use the following commands.

from the_well.benchmark.models import FNO

model = FNO.from_pretrained("polymathic-ai/FNO-acoustic_scattering_maze")

Runs of polymathic-ai FNO-acoustic_scattering_maze on huggingface.co

28
Total runs
0
24-hour runs
-1
3-day runs
-2
7-day runs
15
30-day runs

More Information About FNO-acoustic_scattering_maze huggingface.co Model

FNO-acoustic_scattering_maze huggingface.co

FNO-acoustic_scattering_maze huggingface.co is an AI model on huggingface.co that provides FNO-acoustic_scattering_maze's model effect (), which can be used instantly with this polymathic-ai FNO-acoustic_scattering_maze model. huggingface.co supports a free trial of the FNO-acoustic_scattering_maze model, and also provides paid use of the FNO-acoustic_scattering_maze. Support call FNO-acoustic_scattering_maze model through api, including Node.js, Python, http.

FNO-acoustic_scattering_maze huggingface.co Url

https://huggingface.co/polymathic-ai/FNO-acoustic_scattering_maze

polymathic-ai FNO-acoustic_scattering_maze online free

FNO-acoustic_scattering_maze huggingface.co is an online trial and call api platform, which integrates FNO-acoustic_scattering_maze's modeling effects, including api services, and provides a free online trial of FNO-acoustic_scattering_maze, you can try FNO-acoustic_scattering_maze online for free by clicking the link below.

polymathic-ai FNO-acoustic_scattering_maze online free url in huggingface.co:

https://huggingface.co/polymathic-ai/FNO-acoustic_scattering_maze

FNO-acoustic_scattering_maze install

FNO-acoustic_scattering_maze is an open source model from GitHub that offers a free installation service, and any user can find FNO-acoustic_scattering_maze on GitHub to install. At the same time, huggingface.co provides the effect of FNO-acoustic_scattering_maze install, users can directly use FNO-acoustic_scattering_maze installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

FNO-acoustic_scattering_maze install url in huggingface.co:

https://huggingface.co/polymathic-ai/FNO-acoustic_scattering_maze

Url of FNO-acoustic_scattering_maze

FNO-acoustic_scattering_maze huggingface.co Url

Provider of FNO-acoustic_scattering_maze huggingface.co

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