3 papers
cs.LG2025
Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks
D. Veerababu, Prasanta K. Ghosh
Physics-informed neural networks offered an alternate way to solve several differential equations that govern complicated physics. However, their success in predicting the acoustic…
cs.CE2025
Estimation of the Acoustic Field in a Uniform Duct with Mean Flow using Neural Networks
D. Veerababu, Prasanta K. Ghosh
The study of sound propagation in a uniform duct having a mean flow has many applications, such as in the design of gas turbines, heating, ventilation and air conditioning ducts, a…
cs.CE2024
Neural network based approach for solving problems in plane wave duct acoustics
D. Veerababu, Prasanta K. Ghosh
Neural networks have emerged as a tool for solving differential equations in many branches of engineering and science. But their progress in frequency domain acoustics is limited b…