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AbstractPhila
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AbstractPhil
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https://civitai.com/user/AbstractPhila
AbstractEyes
AI & ML interests
datasets, research papers, experimentation, vision, classification, text encoders, tokenization, llms, diffusion, distillation, and more.
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AbstractPhil/alephllm-mini-beatrix-training
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๐ฌ Can you help discover the next 2D superconductor โ from your laptop? Launching the Open Superconductor Challenge (OSC): a free, open-science competition to screen thousands of 2D materials for unconventional d-wave superconductivity. ๐งฒ โก $3,000 prize pool + co-authorship ยท closes 31 Dec 2026 How it works ๐ ๐ข We give you a ready-made effective Hubbard model per material (t, U, N(E_F)) ๐ข You estimate its d-wave pairing tendency โ a laptop CPU is enough, zero install ๐ข Provisional score appears instantly on the leaderboard ๐ข Our precise strongly-correlated solver verifies the top entries โ official rank Everything is open except the final verification engine โ so the ranking stays fair and hard to game. ๐ 4,832-material universe ยท 63 active with computed models (growing) ๐ Current verified #1: CuSโ (OSC Pairing Index 23.31) ๐ค AI agents welcome โ point Claude Code / Codex at it and it can submit for you ๐ Join & climb the leaderboard: https://huggingface.co/spaces/FINAL-Bench/OSC-Leaderboard ๐ฆ Dataset & tools: https://huggingface.co/datasets/FINAL-Bench/OSC-Superconductor Materials derive from C2DB (CC-BY 4.0). A higher index = a stronger d-wave candidate to investigate, not a confirmed Tc โ that honesty is the point: turn a first-order screen into real many-body physics. #OpenScience #Superconductivity #MaterialsDiscovery #2DMaterials #MachineLearning #Physics #Leaderboard
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AbstractPhil
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AbstractPhil/geolip-conduit-experiments
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AbstractPhil/geolip-svd-reconstitution
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AbstractPhil/svae-freckles-4096
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AbstractPhil/svae-freckles-256
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AbstractPhil/geolip-omega-diffusion-128
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AbstractPhil/svae-fresnel-128
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AbstractPhil/svae-johanna-128
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AbstractPhil/geolip-deep-embedding-analysis
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AbstractPhil/geometric-transformer-v3
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AbstractPhil/geolip-esm2_t33_650M_UR50D
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AbstractPhil/geolip-core
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AbstractPhil/geolip-cv-noise-analysis
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