Candidate Superconductors (ALIGNN Model)¶

This is the full list of identified candidate superconductors in the paper "Discovery of Novel Superconducting Materials with Deep Learning" in the IEEE Quantum Week 2023 Proceedings.

Oxides:¶

mp-id Formula Space Group Stable Energy Above Hull (eV/atom) Experimentally Observed Predicted Tc (K) Predicted Tc Std. Dev. (K) Closest Known Superconductor Closest Superconductor Distance Log Probability of Superconductivity
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Non-Oxides:¶

mp-id Formula Space Group Stable Energy Above Hull (eV/atom) Experimentally Observed Predicted Tc (K) Predicted Tc Std. Dev. (K) Closest Known Superconductor Closest Superconductor Distance Log Probability of Superconductivity
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Economic Considerations¶

This table provides a (very rough) bulk estimate of cost per kg and relative abundance of each Element with respect to composition in Earth's crust. This data is used in the next table to organize superconductors by cost.

Z Symbol Name Abundance in Crust (mg/kg) USD/kg Year Source
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All superconductors, ranked by composition-weighted cost of elements:¶

mp-id Formula Composition-Weighted Cost$^*$ (USD/kg) Limiting Abundance$^{**}$ (mg/kg) Stable Predicted Tc (K) Oxide Log Probability of Superconductivity
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*Composition-Weighted Cost: Estimated cost of the material weighted by elemental composition only. Cost of production and any reagents is not taken into account.

**Limiting Abundance: Estimated milligrams of material (limited by least abundant element) per kg of Earth's crust, assuming uniform distribution of elements in the crust.