5 papers
Supersonic jet impingement on concave surfaces
Hemanth Chandravamsi, Dhanush Vittal Shenoy, Steven H. Frankel
The aeroacoustic resonance of round supersonic jets impinging on concave surfaces is investigated using compressible large-eddy simulations, vortex-sheet modelling, and Powell's fe…
Dynamic masking for boundary-aware velocity reconstruction in volumetric particle tracking with moving solids
Jibu Tom Jose, Arieh Jacobson, Dhanush Vittal Shenoy +2
Volumetric particle tracking velocimetry (PTV) produces scattered Lagrangian tracks that must be reconstructed on an Eulerian grid before velocity gradients, pressure, or hydrodyna…
Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity
Dhanush Vittal Shenoy, Steven H. Frankel
Representing turbulent flow fields in a compact yet physically faithful form remains a central challenge in computational fluid dynamics. We propose a continuous parametric represe…
Spectral Bottleneck in Sinusoidal Representation Networks: Noise is All You Need
Hemanth Chandravamsi, Dhanush V. Shenoy, Itay Zinn +3
This work identifies and attempts to address a fundamental limitation of implicit neural representations with sinusoidal activation. The fitting error of SIRENs is highly sensitive…
Improving Accuracy and Efficiency of Implicit Neural Representations: Making SIREN a WINNER
Hemanth Chandravamsi, Dhanush V. Shenoy, Steven H. Frankel
We identify and address a fundamental limitation of sinusoidal representation networks (SIRENs), a class of implicit neural representations. SIRENs Sitzmann et al. (2020), when not…