14 citations · 14 across the 3 of their papers we have counts for
4 papers
Temperature-Dependent Multiphysics Modeling of Additive Friction Stir Deposition Using Multi-Task Coupled Physics-Informed Neural Networks
Dhrubajyoti Gupta, Nikhil Gotawala, Raghav Gnanasambandam +4
Additive friction stir deposition (AFSD) involves coupled thermal and material-flow fields governed by frictional heating, plastic deformation, and tool-imposed boundary conditions…
Precise Robot Command Understanding Using Grammar-Constrained Large Language Models
Xinyun Huo, Raghav Gnanasambandam, Xinyao Zhang
Human-robot collaboration in industrial settings requires precise and reliable communication to enhance operational efficiency. While Large Language Models (LLMs) understand genera…
Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model
Yutao Du, Qin Li, Raghav Gnanasambandam +3
Exploring the outer atmosphere of the sun has remained a significant bottleneck in astrophysics, given the intricate magnetic formations that significantly influence diverse solar…
Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks
Raghav Gnanasambandam, Bo Shen, Jihoon Chung +3
Physics-informed Neural Networks (PINNs) are gaining attention in the engineering and scientific literature for solving a range of differential equations with applications in weath…