BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning

BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning

27 July 2023

Sheikh Md Shakeel Hassan

Aparna Chandramowlishwaran

Papers citing "BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning"

9 / 9 papers shown

Title
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Ruben Ohana Michael McCabe Lucas Meyer Rudy Morel Fruzsina J. Agocs ... François Rozet Liam Parker M. Cranmer S. Ho Shirley Ho PINN AI4CE 118 12 1 30 Nov 2024
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning Pu Ren N. Benjamin Erichson Shashank Subramanian Omer San Z. Lukić Michael W. Mahoney Michael W. Mahoney 69 14 0 24 Jun 2023
A Neural PDE Solver with Temporal Stencil Modeling Zhiqing Sun Yiming Yang Shinjae Yoo DiffM AI4CE 52 15 0 16 Feb 2023
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators Jaideep Pathak Shashank Subramanian P. Harrington S. Raja Ashesh Chattopadhyay ... Zong-Yi Li Kamyar Azizzadenesheli Pedram Hassanzadeh K. Kashinath Anima Anandkumar AI4Cl 168 674 0 22 Feb 2022
GMFlow: Learning Optical Flow via Global Matching Haofei Xu Jing Zhang Jianfei Cai Hamid Rezatofighi Dacheng Tao 91 353 0 26 Nov 2021
An Extensible Benchmark Suite for Learning to Simulate Physical Systems Karl Otness Arvi Gjoka Joan Bruna Daniele Panozzo Benjamin Peherstorfer T. Schneider Denis Zorin 53 23 0 09 Aug 2021
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow Zachary Teed Jia Deng MDE 202 2,583 0 26 Mar 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 123 1,065 0 21 Feb 2020
Group Normalization Yuxin Wu Kaiming He 175 3,626 0 22 Mar 2018