Sheel Nidhan

According to our database, Sheel Nidhan authored at least 4 papers between 2023 and 2026.

Collaborative distances:

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

2026

HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics.

Neil Ashton, Adam Clark, Liam Heidt, Christopher Ivey, Sanjeeb Bose, Rahul Agrawal, Konrad Goc, Rishi Ranade, Corey Adams, Peter Sharpe, Sheel Nidhan, Semit Akkurt, Daniel V. Leibovici, Jean Kossaifi

CoRR, May, 2026

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