Sheel Nidhan

According to our database, Sheel Nidhan authored at least 3 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations.

Sheel Nidhan, Haoliang Jiang, Lalit Ghule, Clancy Umphrey, Rishikesh Ranade, Jay Pathak

CoRR, 2024

Sampling-based Distributed Training with Message Passing Neural Network.

Priyesh Kakka, Sheel Nidhan, Rishikesh Ranade, Jonathan F. MacArt

CoRR, 2024

2023

Diffusion model based data generation for partial differential equations.

Rucha Apte, Sheel Nidhan, Rishikesh Ranade, Jay Pathak

CoRR, 2023