Published 2026 | Version v1
Model Open

Pretrained Model Checkpoints for "Forward and Inverse Mantle Convection with Neural Operators"

  • 1. ROR icon California Institute of Technology

Description

This record provides pretrained neural operator checkpoint files associated with the paper: Kong, C., Gurnis, M., and Ross, Z. E. (2026). Forward and Inverse Mantle Convection with Neural Operators. Geophysical Journal International. Accepted.

The checkpoint files support the code repository accompanying the paper and are intended for model loading, reproduction of example notebooks, including forward, reverse, Stokes physics-informed, and inverse mantle-convection demonstrations. The archive includes pretrained checkpoints for the forward convection neural operator, variable Rayleigh number forward convection neural operator, reverse convection neural operator, and Stokes physics-informed neural operator.

Files

README_checkpoints.md

Files (8.3 GB)

Name Size
md5:36cdf906b19f70b26bed65d9db868ec3
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md5:185e78a62f3a4ec14d9b88af9a29a48f
1.1 kB Preview Download
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675.2 MB Download
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675.2 MB Download
md5:89b0b9d3cfa2a4057fd6291f5709085c
344.9 MB Download