Hermite neural operator for solving partial differential equations on unbounded domains
Accurately simulating physical systems such as wave propagation and quantum mechanics often requires solving partial differential equations on unbounded domains. This poses a fundamental challenge: classical numerical methods rely on artificial boundary conditions, while state-of-the-art neural oper...
Bewaard in:
| Hoofdauteurs: | , , , , |
|---|---|
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
IOP Publishing
2026-01-01
|
| Reeks: | Machine Learning: Science and Technology |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1088/2632-2153/ae2bbc |
| Tags: |
Geen labels, Wees de eerste die dit record labelt!
|