FINAL-Bench has announced a competition inviting researchers, students and developers to screen two-dimensional materials for possible superconductivity using a laptop. Published on September 29, the Open Superconductor Challenge offers a $3,000 prize pool.
Participants receive simplified models of how electrons interact and submit estimates of d-wave pairing, a pattern associated with unconventional superconductivity. The organizers say they will apply more demanding many-body calculations to promising entries, reserving expensive computation for a smaller shortlist.
The strategy reflects growing interest in machine-learning screening for superconductors, where computational filters help narrow the search before experiments. Related work on AI-guided quantum-material design likewise highlights the distinction between generating promising candidates and establishing their properties through laboratory tests.
The announcement describes 63 modeled materials drawn from a larger set of 4,832. Its basic participation route does not require a GPU. While participants can submit numerical results, prize winners must provide reproducible code; the final verification engine remains private.
Crucially, leaderboard verification is computational, not experimental proof that a material superconducts. The organizers explicitly caution that the leading entry is a screening candidate, not a measured transition temperature. The first season closes on December 31, 2026, at 23:59 Korea Standard Time.