Replaces proprietary geometric deep learning frameworks for physical systems. Utilizes higher-degree representations to scale equivariant transformers for large-scale atomic simulations.
Tech Stack
PythonAI, ML & Data
Why equiformer_v2?
• State-of-the-art accuracy on OC20
• Scales to higher-degree representations
• Robust mathematical foundation
Limitations
• Extremely high compute cost
• Complex implementation details
• Niche application area
3/4/2026
Last Update
45
Forks
19
Issues
MIT
License
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