Datasets:
Formats:
csv
Languages:
English
Size:
1K - 10K
Tags:
open-science
superconductivity
superconductor-discovery
strongly-correlated
materials-discovery
2d-materials
License:
add HF article draft (SEO/AEO, includes Space link)
Browse files- blog/OSC_ARTICLE.md +113 -0
blog/OSC_ARTICLE.md
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---
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title: "Open Superconductor Challenge: Help Discover the Next 2D Superconductor — From Your Laptop"
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thumbnail: /blog/assets/osc/thumbnail.png
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authors:
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- user: FINAL-Bench
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date: 2026-09-29
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tags:
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- open-science
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- superconductivity
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- materials-discovery
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- 2d-materials
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- hubbard-model
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- leaderboard
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---
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# Open Superconductor Challenge: Help Discover the Next 2D Superconductor — From Your Laptop
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> **In one sentence:** The Open Superconductor Challenge (OSC) is a free, open-science competition on Hugging Face where anyone can screen thousands of 2D materials for **unconventional (d-wave) superconductivity** using a laptop CPU, submit a score, and climb a verified leaderboard — for a **US $3,000 prize pool + co-authorship**.
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**👉 Join the challenge now: [huggingface.co/spaces/FINAL-Bench/OSC-Leaderboard](https://huggingface.co/spaces/FINAL-Bench/OSC-Leaderboard)**
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---
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## The problem: finding superconductors is slow and expensive
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Superconductors carry electricity with zero resistance, and **unconventional (d-wave) superconductivity** — the kind seen in cuprates and twisted bilayer graphene — is one of the most important open problems in condensed-matter physics. But discovering new superconducting materials experimentally is painfully slow: each candidate can take months in the lab, and there are thousands of promising 2D materials to check.
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What if we screened them *computationally, before the lab* — and did it as a community?
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## The idea: crowd-screen first, verify precisely
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That is exactly what the **Open Superconductor Challenge (OSC)** does. It splits the work in a way that makes discovery affordable:
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- **The crowd screens broadly.** For each material, we provide a ready-made **effective model** (a doped Hubbard model). You estimate its d-wave pairing tendency with any method — a laptop CPU is enough — and submit a small file.
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- **The organizers verify precisely.** We spend heavy many-body compute only on the **top** submissions, using a precise strongly-correlated reference solver that confirms which candidates are real.
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This "compute arbitrage" finds promising superconductor candidates for a fraction of the usual cost — and everything a participant needs is open. Only the final verification engine stays private, which keeps the leaderboard fair and hard to game without hiding the science.
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## What you get, and what you do
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For every active material, OSC hands you a downfolded **Hubbard effective model**:
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| Quantity | Meaning |
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|---|---|
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| `t` | nearest-neighbor hopping (eV) |
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| `U` | on-site interaction (eV); the challenge fixes the correlated regime at **U/t = 8** |
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| `N(E_F)` | density of states at the Fermi level (states/eV/atom) — the first-order BCS indicator |
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Your job: compute a **material-specific d-wave (d<sub>x²−y²</sub>) pairing estimate** that beats the first-order screen, and submit it.
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## How to enter in 4 steps (no GPU, no install)
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1. **Sign in** with Hugging Face on the [OSC Leaderboard Space](https://huggingface.co/spaces/FINAL-Bench/OSC-Leaderboard) — this verifies your identity.
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2. **Download the instrument** — a single pure-Python script that runs on Windows, Linux, and macOS:
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```bash
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huggingface-cli download FINAL-Bench/OSC-Superconductor \
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instrument/osc_instrument.py instrument/pair_baseline.py \
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--repo-type dataset --local-dir osc
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cd osc/instrument
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```
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3. **Pick a material and run it** (seconds on a laptop):
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```bash
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python osc_instrument.py --material_id OSC-00129 --author YOUR_NAME
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```
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To compete on the gold track, replace `estimate_pairing()` with your own many-body method (ED, VMC, DMRG, mean-field, or ML).
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4. **Submit** on the material's card in the Space, or by Pull Request. Your provisional score appears instantly.
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> 🤖 **AI agents welcome:** point Claude Code or Codex at the challenge and it can claim a material, run the instrument, and submit for you.
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## The leaderboard today
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The active set already carries a computed effective model for **63** materials out of a **4,832**-material universe (and it is growing). A snapshot of the current verified top:
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| Rank | Material | OSC Pairing Index | Status |
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|---|---|---|---|
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| 1 | CuS₂ | 23.31 | ✅ verified |
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| 2 | NV₂ | 20.39 | ✅ verified |
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| 3 | Co₂Se₂ | 16.82 | ✅ verified |
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| 4 | H₂Ti | 16.21 | ✅ verified |
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| 5 | Br₂Cu | 15.86 | ✅ verified |
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The **OSC Pairing Index** is `N(E_F) × A_ref × 10000`, where `A_ref = 0.0503` is the reference d-wave pair correlation measured by our precise 6×6 doped-Hubbard solver at U/t = 8. A higher index means a stronger d-wave pairing **tendency** by our screen — a better candidate to investigate — **not** a guaranteed critical temperature. That honesty is the point: the challenge asks you to turn a first-order screen into real, material-specific many-body physics.
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## Prizes and credit
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| Prize | Amount | Awarded to |
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|---|---|---|
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| **Grand** | $1,500 | highest verified d-wave tendency (any material) |
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| **Best Method (Gold)** | $1,000 | top verified score with an open-sourced method |
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| **Best Discovery (Open)** | $500 | best verified new material you propose |
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One cash prize per person; ranks 2–5 and all valid entrants receive **co-authorship, hall-of-fame listing, and leaderboard credit**.
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## FAQ
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**Do I need a GPU?** No — the light track runs on any laptop CPU with zero installation.
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**Do I have to share my code?** No; you submit only result numbers. Only prize winners share reproducible code, under a contributor license.
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**Is the #1 material a confirmed superconductor?** No — it is the strongest d-wave *candidate* by our first-order screen, not a measured Tc.
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**Where does the data come from?** Materials derive from the **Computational 2D Materials Database (C2DB)** under CC-BY 4.0, enriched by us and cited in the dataset's `PROVENANCE.md`.
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**When does it close?** Season 1 closes **31 December 2026, 23:59 KST**.
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## Get involved
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Open science works best when more people join. Whether you are a condensed-matter researcher, an ML practitioner, a student, or an AI agent, you can help map the landscape of 2D superconductivity today.
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**⭐ Star and enter the challenge: [huggingface.co/spaces/FINAL-Bench/OSC-Leaderboard](https://huggingface.co/spaces/FINAL-Bench/OSC-Leaderboard)**
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**📦 Dataset & tools: [huggingface.co/datasets/FINAL-Bench/OSC-Superconductor](https://huggingface.co/datasets/FINAL-Bench/OSC-Superconductor)**
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*Hosted by FINAL-Bench as an open-science initiative.*
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