Name
Abstract | ||
|---|---|---|
•Proposed a new numerical framework for learning partial differential equation (PDE) from data.•Presented the approach of learning evolution operator of the equation in finite dimension.•Presented detailed algorithm and error analysis. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.jcp.2020.109307 | Journal of Computational Physics |
Keywords | DocType | Volume |
Deep neural network,Residual network,Governing equation discovery,Modal space | Journal | 408 |
ISSN | Citations | PageRank |
0021-9991 | 1 | 0.35 |
References | Authors | |
22 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kailiang Wu | 1 | 7 | 1.80 |
| Dongbin Xiu | 2 | 1068 | 115.57 |