still trying to make the leaderboard
Browse files
app.py
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@@ -66,8 +66,33 @@ def gradio_interface() -> gr.Blocks:
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with gr.TabItem("About", elem_id="boundary-benchmark-tab-table"):
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gr.Markdown(
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"""
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"""
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)
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with gr.TabItem("About", elem_id="boundary-benchmark-tab-table"):
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gr.Markdown(
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"""
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## About This Challenge
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**Welcome to the ConStellaration Leaderboard**, a community-driven effort to accelerate fusion energy research using machine learning.
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In collaboration with [Proxima Fusion](https://www.proximafusion.com/), we're inviting the ML and physics communities to optimize plasma configurations for stellarators—a class of fusion reactors that offer steady-state operation and strong stability advantages over tokamaks.
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This leaderboard tracks submissions to a series of open benchmark tasks focused on:
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- **Geometrically optimized stellarators**
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- **Simple-to-build quasi-isodynamic (QI) stellarators**
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- **Multi-objective, MHD-stable QI stellarators**
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Participants are encouraged to build surrogate models, optimize plasma boundaries, and explore differentiable design pipelines that could replace or accelerate slow traditional solvers like VMEC++.
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### Why It Matters
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Fusion promises clean, abundant, zero-carbon energy. But designing stellarators is computationally intense and geometrically complex. With open datasets, reference baselines, and your contributions, we can reimagine this process as fast, iterative, and ML-native.
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### How to Participate
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- Clone the [ConStellaration dataset](https://huggingface.co/datasets/proxima-fusion/constellaration)
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- Build or train your model on the provided QI equilibria
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- Submit your predicted boundaries and results here to benchmark against others
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- Join the discussion and help expand the frontier of fusion optimization
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Let's bring fusion down to Earth—together.
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"""
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)
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