"VS-PINN: A fast and efficient training of physics-informed neural networks ..."

Seungchan Ko, Sanghyeon Park (2025)

> Home

Details and statistics

DOI: 10.1016/J.JCP.2025.113860

access: closed

type: Journal Article

metadata version: 2025-03-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcphy/KoP25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcphy/KoP25
Seungchan Ko, Sanghyeon Park:
VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior. J. Comput. Phys. 529: 113860 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.