simulation
GMFlow_raw_simulation
GMFlow Raw Simulation
Overview
GMFlow Raw Simulation is a large-scale open dataset of high-fidelity three-dimensional earthquake ground-motion simulations generated for the GMFlow project. It contains both point-source and finite-rupture earthquake scenarios for San Francisco Bay Area, covering magnitudes Mw 4.4, Mw 6, and Mw 7.
The simulations are performed on the supercomputer Perlmutter at the National Energy Research Scientific Computing Center (NERSC), with a total… See the full description on the dataset page: https://huggingface.co/datasets/Yaozhong/GMFlow_raw_simulation.Paired_Compressible_Boussinesq_Flow_Simulation_with_Random_Temperature_BCs
Paired Compressible / Boussinesq Flow with Random Temperature BCs
📄 Paper: A Neural Surrogate Approach for Simulating Natural Convection
Problems (arXiv:2606.25259) — Nurshat Menglik,
Alex Shao, David Hyde.
10,000 matched pairs of 2D natural-convection simulations of the differentially
heated square cavity under randomized wall-temperature boundary conditions. Each
sample solves the same problem twice — once with the Boussinesq model and once
with the fully compressible model —… See the full description on the dataset page: https://huggingface.co/datasets/NurshatMenglik/Paired_Compressible_Boussinesq_Flow_Simulation_with_Random_Temperature_BCs.Simulation_asset_datasetsimulation-package
Simulation runtime: the third-party half of the AVSim data generation package
This repository holds the third-party runtime of the Simulation data generation package, version 3: the pieces the pipeline needs that were not written by the authors. It contains no code and no data of the authors. It is not usable on its own: the private half of the package, AVSim/simulation, downloads this repository into the same directory at a pinned revision with its fetch_runtime.sh script and… See the full description on the dataset page: https://huggingface.co/datasets/AVSim/simulation-package.Downstream_Physics_Simulation
GeoPT
Project Page | Paper | GitHub
This repository contains the physics simulation data for the paper GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training.
GeoPT is a unified model pre-trained on large-scale geometric data for general physics simulation, unlocking a scalable path for neural simulation.
Overview
GeoPT is evaluated on the following five simulation tasks.
Dataset
Mesh Size
Variable
Training
Test
Total Size
Source
DrivAerML… See the full description on the dataset page: https://huggingface.co/datasets/GeoPT/Downstream_Physics_Simulation.SimulationMetadata
PercepTax — Simulation Metadata
Supporting metadata for the PercepTax benchmark.
This repository holds the object taxonomy, object lists / placement rules, and
per-scene 3D annotations used to render and annotate the simulated split of PercepTax.
It is a collection of JSON/CSV/PNG files (not a load_dataset-style tabular dataset).
Contents
taxonomy/ # the physical-property taxonomy
├── taxonomy.json # full taxonomy… See the full description on the dataset page: https://huggingface.co/datasets/TaxonomyProject/SimulationMetadata.