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20242026
most citedQuantum Physics-Informed Neural Networks for Maxwell's Equations: Circuit Design, "Black Hole" Barren Plateaus Mitigation, and GPU Acceleration

2 citations · 2 across the 5 of their papers we have counts for

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physics.comp-ph2026

Feature-preserving Latent-EnKF for Data Assimilation of Flows with Shocks

Hemanth Chandravamsi, Hangchuan Hu, Ponkrshnan Thiagarajan +1

The ensemble Kalman filter (EnKF) is widely adopted for sequential data assimilation, but fails for solutions with discontinuities, such as shocks in compressible flows. Uncertaint…

physics.comp-ph2025

PINNs for Solving Unsteady Maxwell's Equations: Convergence Issues and Comparative Assessment with Compact Schemes

Gal G. Shaviner, Hemanth Chandravamsi, Shimon Pisnoy +2

Physics-Informed Neural Networks (PINNs) have recently emerged as a promising alternative for solving partial differential equations, offering a mesh-free framework that incorporat…