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20202022
most citedSelf-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism

126 citations · 220 across the 6 of their papers we have counts for

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2 papers · 1 filter

astro-ph.HE2022★ 2 cited

Using Physics Informed Neural Networks for Supernova Radiative Transfer Simulation

Xingzhuo Chen, David J. Jeffery, Ming Zhong +3

We use physics informed neural networks (PINNs) to solve the radiative transfer equation and calculate a synthetic spectrum for a Type Ia supernova (SN~Ia) SN 2011fe. The calculati…

physics.flu-dyn2022★ 72 cited

Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity

E. J. R. Coutinho, M. Dall'Aqua, L. McClenny +3

Physics-informed Neural Network (PINN) is a promising tool that has been applied in a variety of physical phenomena described by partial differential equations (PDE). However, it h…