no code implementations • 28 Aug 2023 • Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran
Mosaic Flow is a novel domain decomposition method designed to scale physics-informed neural PDE solvers to large domains.
4 code implementations • 27 Jul 2023 • Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran
In the field of phase change phenomena, the lack of accessible and diverse datasets suitable for machine learning (ML) training poses a significant challenge.
no code implementations • 28 May 2021 • Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma
Sampling is an established technique to scale graph neural networks to large graphs.