Showing eess.SYShow all
2 papers · 1 filter
eess.SY2026
Hybrid-time PINNs: Discontinuity-Aware Physics-Informed Neural Networks for Learning Hybrid Dynamical Systems
Shivanshu Tripathi, Maziar Raissi
Hybrid dynamical systems flow continuously but jump at discrete events. Physics-informed neural networks (PINNs) fit data while enforcing known dynamics, but a single network is sm…
eess.SY2026
VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge
Shivanshu Tripathi, Hamed Mohsenian-Rad, Maziar Raissi
Language models have demonstrated remarkable success in solving a wide range of tasks. However, answering complex scientific questions about the power flow often requires solving t…