4 papers · 1 filter
GLOBE: Accurate and Generalizable PDE Surrogates using Domain-Inspired Architectures and Equivariances
Peter Sharpe
We introduce GLOBE, a new neural surrogate for homogeneous PDEs that draws inductive bias from boundary-element methods and equivariant ML. GLOBE represents solutions as superposit…
NaN-Propagation: A Novel Method for Sparsity Detection in Black-Box Computational Functions
Peter Sharpe
When numerically evaluating a function's gradient, sparsity detection can enable substantial computational speedups through Jacobian coloring and compression. However, sparsity det…
A Benchmarking Framework for AI models in Automotive Aerodynamics
Kaustubh Tangsali, Rishikesh Ranade, Mohammad Amin Nabian +5
In this paper, we introduce a benchmarking framework within the open-source NVIDIA PhysicsNeMo-CFD framework designed to systematically assess the accuracy, performance, scalabilit…
Accelerating Transient CFD through Machine Learning-Based Flow Initialization
Peter Sharpe, Rishikesh Ranade, Kaustubh Tangsali +3
Transient computational fluid dynamics (CFD) simulations are essential for many industrial applications, but suffer from high compute costs relative to steady-state simulations. Th…