3 papers
cs.NE2020
DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm
Hao Xu, Haibin Chang, Dongxiao Zhang
Data-driven methods have recently been developed to discover underlying partial differential equations (PDEs) of physical problems. However, for these methods, a complete candidate…
stat.ML2019
DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data
Hao Xu, Haibin Chang, Dongxiao Zhang
In recent years, data-driven methods have been developed to learn dynamical systems and partial differential equations (PDE). The goal of such work is discovering unknown physics a…
gr-qc2018
Regularity of high energy photon events from gamma ray bursts
Haowei Xu, Bo-Qiang Ma
The effect of Quantum Gravity (QG) may bring a tiny light speed variation as , where is the photon energy and is a Lorentz violation scale.…