10 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…
Hybrid Quantum-Classical PINNs for Scientific Computing: A Multi-GPU Open-Source Framework
Shimon Pisnoy, Hemanth Chandravamsi, Ziv Chen +4
We present QPINNACLE, an open-source computational framework for physics-informed neural networks (PINNs) that integrates modern training strategies, multi-GPU acceleration, and hy…
Quantum Physics-Informed Neural Networks for Maxwell's Equations: Circuit Design, "Black Hole" Barren Plateaus Mitigation, and GPU Acceleration
Ziv Chen, Gal G. Shaviner, Hemanth Chandravamsi +3
Physics-Informed Neural Networks (PINNs) have emerged as a promising approach for solving partial differential equations (PDEs) by embedding the governing physics into the loss fun…
Shock propagation through a local constriction
Raz Heppner, Hemanth Chandravamsi, Yoav Gichon +2
The interaction of a shock wave with a localized constriction in a straight conduit is investigated by systematically varying the blockage ratio in the range 0.35-0.75, the normali…