14 citations · 17 across the 3 of their papers we have counts for
3 papers
Reinforcement learning framework for the mechanical design of microelectronic components under multiphysics constraints
Siddharth Nair, Timothy F. Walsh, Greg Pickrell +1
This study focuses on the development of reinforcement learning based techniques for the design of microelectronic components under multiphysics constraints. While traditional desi…
Physics and geometry informed neural operator network with application to acoustic scattering
Siddharth Nair, Timothy F. Walsh, Greg Pickrell +1
In this paper, we introduce a physics and geometry informed neural operator network with application to the forward simulation of acoustic scattering. The development of geometry i…
Multiple scattering simulation via physics-informed neural networks
Siddharth Nair, Timothy F. Walsh, Greg Pickrell +1
This work presents a physics-driven machine learning framework for the simulation of acoustic scattering problems. The proposed framework relies on a physics-informed neural networ…