Accelerating the Discovery of Steady‐States of Planetary Interior Dynamics With Machine Learning
Abstract Simulating mantle convection often requires reaching a computationally expensive steady‐state, crucial for deriving scaling laws for thermal and dynamical flow properties and benchmarking numerical solutions. The strong temperature dependence of the rheology of mantle rocks causes viscosity...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
|
| Series: | Journal of Geophysical Research: Machine Learning and Computation |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024JH000438 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|