62 citations · 361 across the 34 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.LG2022★ 6 cited
FC-PINO: High Precision Physics-Informed Neural Operators via Fourier Continuation
Adarsh Ganeshram, Haydn Maust, Valentin Duruisseaux +6
The physics-informed neural operator (PINO) is a machine learning paradigm that has demonstrated promising results for learning solutions to partial differential equations (PDEs).…
math.NA2022
Multiple-scattering frequency-time hybrid solver for the wave equation in interior domains
Oscar P. Bruno, Tao Yin
This paper proposes a frequency-time hybrid solver for the time-dependent wave equation in two-dimensional interior spatial domains. The approach relies on four main elements, name…
physics.med-ph2022★ 4 cited
Parallel inverse-problem solver for time-domain optical tomography with perfect parallel scaling
E. L. Gaggioli, O. P. Bruno
This paper presents an efficient parallel radiative transfer-based inverse-problem solver for time-domain optical tomography. The radiative transfer equation provides a physically…