"Extreme time extrapolation capabilities and thermodynamic consistency of ..."

Daniele Lanzoni et al. (2024)

> Home

Details and statistics

DOI: 10.1088/2632-2153/AD8532

access: open

type: Journal Article

metadata version: 2024-11-30

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/mlst/LanzoniFBPM24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/mlst/LanzoniFBPM24
Daniele Lanzoni, Andrea Fantasia, Roberto Bergamaschini, Olivier Pierre-Louis, Francesco Montalenti:
Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired neural networks for the 3D microstructure evolution of materials via Cahn-Hilliard flow. Mach. Learn. Sci. Technol. 5(4): 45017 (2024)

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.