115 citations · 279 across the 14 of their papers we have counts for
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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…
nlin.SI2022★ 1 cited
Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator
Ming Zhong, Zhenya Yan
In this paper, we firstly extend the Fourier neural operator (FNO) to discovery the soliton mapping between two function spaces, where one is the fractional-order index space $\{ε|…
cs.LG2022
Learning Interaction Variables and Kernels from Observations of Agent-Based Systems
Jinchao Feng, Mauro Maggioni, Patrick Martin +1
Dynamical systems across many disciplines are modeled as interacting particles or agents, with interaction rules that depend on a very small number of variables (e.g. pairwise dist…