{"artifact_id":"L1-915","layer":"L1","title":"Room-Temperature Superconductivity — Eliashberg Tc","domain":"Materials Science","sub_domain":"Superconductivity","physics_fingerprint":{"intro":"Superconductors carry current without loss — but only when cold. A material that superconducts at ambient temperature and pressure would transform energy and computing. Predicting Tc from electron–phonon coupling (Eliashberg / Allen–Dynes) and inverting for high-Tc structures is the path.","title":"Room-Temperature Superconductivity — Eliashberg Tc","domain":"Materials Science","chapter":"Ch.15 Materials, Energy & Climate","why_hard":"Tc depends sensitively on the phonon spectrum and coupling; DFT is expensive; dynamical stability constrains candidates; extraordinary claims demand reproducibility.","agent_idea":"An agent that proposes candidate superconductors and predicts Tc + stability, prioritizing synthesis-ready structures.","approaches":["ML surrogates of electron–phonon coupling / Tc","Generative inverse design of dynamically-stable high-Tc crystals","Eliashberg-informed screening pipelines"],"sub_domain":"Superconductivity","forward_model":"Eliashberg/Allen–Dynes Tc from the electron–phonon spectral function α²F(ω) and Coulomb pseudopotential μ*; inverse-design candidate crystals for high Tc.","benchmark_goal":"Predict Tc from structure / α²F with MAE ≲ 12 K, enforcing dynamical stability; an inverse-design track scores the high-Tc hit rate.","challenge_blurb":"Design a material that superconducts at room temperature — predict Tc from electron–phonon coupling and invert for high-Tc structures.","challenge_group":"physics","challenge_short":"Room-Temp Superconductivity","grand_challenge":true,"governing_equation":"Tc = (ω_log/1.2)·exp(−1.04(1+λ) / (λ − μ*(1+0.62λ)))  (Allen–Dynes)"},"observable_profile":{"unit":"MAE on predicted Tc in K (lower better)","floor":15.0,"metric":"Tc_mae","sota_reference":"Hydride high-pressure superconductors (LaH10, H3S) + ML Tc models"},"size_tiers":{"atoms_cell":[4,20,100],"candidates":[1000,50000,1000000]},"hardness_fn":{"type":"grand_challenge","metric":"Tc_mae","baseline":"McMillan formula","delta_tier":50},"initiator_dataset":[{"name":"SuperCon Tc database","weight":0.5,"ipfs_cid":null,"license_hash":null},{"name":"DFT electron-phonon α²F corpus","weight":0.3,"ipfs_cid":null,"license_hash":null},{"name":"High-pressure hydride dataset","weight":0.2,"ipfs_cid":null,"license_hash":null}],"status":"testnet","staked_pwm":5000.0,"chain_hash":null,"chain_tx_hash":null,"chain_block":null,"wp":{},"plain_intro":"Room-Temperature Superconductivity — Eliashberg Tc is a problem in Materials Science. The forward model maps the hidden the unknown quantity to a measurement. The inverse goal is to recover the the unknown quantity from the observed data."}