An Extensible Benchmark Suite for Learning to Simulate Physical Systems

An Extensible Benchmark Suite for Learning to Simulate Physical Systems

9 August 2021

Joan Bruna

Daniele Panozzo

Benjamin Peherstorfer

Papers citing "An Extensible Benchmark Suite for Learning to Simulate Physical Systems"

9 / 9 papers shown

Title
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence Pranav Vaidhyanathan Aristotelis Papatheodorou Mark T. Mitchison Natalia Ares Ioannis Havoutis PINN AI4CE 38 1 0 23 Feb 2025
Learning to Predict Structural Vibrations J. V. Delden Julius Schultz Christopher Blech Sabine C. Langer Timo Luddecke AI4CE 26 1 0 09 Oct 2023
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data Maixmilian Kleissl Lukas Drews Benedict Heyder Julian Zabbarov Pascal Iversen Simon Witzke B. Renard Katharina Baum AI4CE 19 3 0 08 Apr 2023
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions F. Bonnet Jocelyn Ahmed Mazari Paola Cinnella Patrick Gallinari AI4CE 25 54 0 15 Dec 2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning M. Takamoto T. Praditia Raphael Leiteritz Dan MacKinlay Francesco Alesiani Dirk Pflüger Mathias Niepert AI4CE 22 201 0 13 Oct 2022
An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations F. Bonnet Jocelyn Ahmed Mazari T. Munzer P. Yser Patrick Gallinari AI4CE 51 10 0 29 Jun 2022
Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators Jonas Nicodemus Jonas Kneifl Jörg Fehr B. Unger PINN AI4CE 21 52 0 22 Sep 2021
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 146 219 0 29 Sep 2019
Reconstruction of Simulation-Based Physical Field by Reconstruction Neural Network Method Yu Li Hu Wang Kangjia Mo Tao Zeng 3DV AI4CE 27 7 0 19 Apr 2018