Searching Materials Space for Hydride Superconductors at Ambient Pressure

A machine-learning-assisted approach is employed to search for superconducting hydrides under ambient pressure within an extensive dataset comprising over 150 000 compounds. The investigation yields approximate to 50 systems with transition temperatures surpassing 20 K, and some even reaching above 70 K. These compounds have very different crystal structures, with different dimensionality, chemical composition, stoichiometry, and arrangement of the hydrogens. Interestingly, most of these systems display slight thermodynamic instability, implying that their synthesis will re quire conditions beyond ambient equilibrium. Moreover, a consistent chemical composition is found in the majority of these systems, which combines alkali or alkali-earth elements with noble metals. This observation suggests a promising avenue for future experimental investigations into high-temperature superconductivity within hydrides at ambient pressure. A machine-learning-assisted approach is employed to search for superconducting hydrides under ambient pressure within a dataset comprising over 150 000 compounds. Fifty systems are identified with transition temperatures above 20K, and a maximum value of 70K. Most of these systems display a slight thermodynamic instability, implying that their synthesis will require conditions beyond ambient equilibrium. image