20 citations · 87 across the 20 of their papers we have counts for
4 papers · 1 filter
Targeted computation of nonlocal closure operators via an adjoint-based macroscopic forcing method
Jessie Liu, Florian Schäfer, Spencer H. Bryngelson +2
Reynolds-averaged Navier--Stokes (RANS) closure must be sensitive to the flow physics, including nonlocality and anisotropy of the effective eddy viscosity. Recent approaches used…
RoseNNa: A performant, portable library for neural network inference with application to computational fluid dynamics
Ajay Bati, Spencer H. Bryngelson
The rise of neural network-based machine learning ushered in high-level libraries, including TensorFlow and PyTorch, to support their functionality. Computational fluid dynamics (C…
Fast Macroscopic Forcing Method
Spencer H. Bryngelson, Florian Schäfer, Jessie Liu +1
The macroscopic forcing method (MFM) of Mani and Park and similar methods for obtaining turbulence closure operators, such as the Green's function-based approach of Hamba, recover…
Fully quantum algorithm for lattice Boltzmann methods with application to partial differential equations
Sriharsha Kocherla, Zhixin Song, Fatima Ezahra Chrit +4
Fluid flow simulations marshal our most powerful computational resources. In many cases, even this is not enough. Quantum computers provide an opportunity to speed up traditional a…