67 citations · 129 across the 12 of their papers we have counts for
5 papers · 1 filter
Degree-of-freedom and optimization-dynamic effects on the observability of Kuramoto-Sivashinsky systems
Noah B. Frank, Joshua L. Pughe-Sanford, Samuel J. Grauer
Simulations of chaotic systems can only produce high-fidelity trajectories if the initial and boundary conditions are well specified. When these conditions are unknown but measurem…
On the joint estimation of flow fields and particle properties from Lagrangian data
Ke Zhou, Samuel J. Grauer
We numerically investigate the feasibility and limits of jointly estimating flow fields and unknown particle properties (e.g., position, size, and density) from Lagrangian particle…
Open-source BOS tomography dataset of high-speed flow over a flight body
Joseph P. Molnar, Amit K. Singh, Christopher J. Clifford +4
We present an open-source background-oriented schlieren dataset with 70 views of high-speed flow over a flight body. Sample analyses are performed using a neural-implicit reconstru…
Neural inference of fluid-structure interactions from sparse off-body measurements
Rui Tang, Ke Zhou, Jifu Tan +1
We report a novel physics-informed neural framework for reconstructing unsteady fluid-structure interactions (FSI) from sparse, single-phase observations of the flow. Our approach…
Unsupervised neural-implicit laser absorption tomography for quantitative imaging of unsteady flames
Joseph P. Molnar, Jiangnan Xia, Rui Zhang +2
This paper presents a novel neural-implicit approach to laser absorption tomography (LAT) with an experimental demonstration. A coordinate neural network is used to represent therm…