21 citations · 38 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
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…
GRIDS-Net: Inverse shape design and identification of scatterers via geometric regularization and physics-embedded deep learning
Siddharth Nair, Timothy F. Walsh, Greg Pickrell +1
This study presents a deep learning based methodology for both remote sensing and design of acoustic scatterers. The ability to determine the shape of a scatterer, either in the co…