Diffusion for Fusion: Designing Stellarators with Generative AI

Padidar, Misha; Huang, Teresa; Andrew; Spivak, Marina

doi:10.5281/zenodo.17713019

Published September 24, 2025 | Version v1

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Diffusion for Fusion: Designing Stellarators with Generative AI

1. Flatiron Institute
2. Courant Institute of Mathematical Sciences

This repo contains the code and data accompanying the paper "Diffusion for Fusion: Designing Stellarators with Generative AI" by Misha Padidar, Teresa Huang, Andrew Giuliani, Marina Spivak in the AI for Science workshop at Neurips, 2025.

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diffusion_for_fusion.zip

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Programming language: Python

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Zenodo

Conference

Neural Information Processing Systems (NeurIps), San Diego, 1-7 December 2025 (Session AI for Science Workshop)

License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

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Created: November 25, 2025
Modified: November 25, 2025

Diffusion for Fusion: Designing Stellarators with Generative AI

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diffusion_for_fusion.zip

Files (5.1 GB)

Additional details

Software