Physics-Informed Neural Networks for Scientific Computing (Q166495): Difference between revisions
From geokb
(Changed label, description and/or aliases in en, and other parts: removed Deep Learning from aliases; added Q169133 to addresses subject) |
(Changed label, description and/or aliases in en, and other parts: modified description with assistance from Llama 3.1) |
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| description / en | description / en | ||
Using AI to solve complex math problems in physics and engineering. | |||
Revision as of 13:04, 30 August 2024
Using AI to solve complex math problems in physics and engineering.
- Partial Differential Equations
- Model Reduction
- Fluid Dynamics
- Dynamic Mode Decomposition
- Nonlinear Systems
- Data-Driven Modeling
- Numerical Computing
- Inverse Problems
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Physics-Informed Neural Networks for Scientific Computing |
Using AI to solve complex math problems in physics and engineering. |
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