Computational Materials Discovery for Lanthanide Hydrides at high pressure: predicting High Temperature superconductivity
Evgeny Plekhanov, Zelong Zhao, Francesco Macheda, Yao Wei, Nicola, Bonini, and Cedric Weber

TL;DR
This paper presents a first-principles computational platform incorporating many-body corrections to predict and analyze the superconducting properties of lanthanide hydrides, specifically CeH$_9$, at high pressures, aiming to discover new high-temperature superconductors.
Contribution
It introduces a detailed first-principles calculation method with many-body corrections for studying hydrogen-rich superhydrides, improving T$_c$ predictions and understanding their superconductivity mechanisms.
Findings
Many-body corrections significantly increase predicted T$_c$ values.
The computational approach aligns well with experimental T$_c$ observations.
The platform facilitates exploration of superhydrides at feasible pressures.
Abstract
Hydrogen-rich superhydrides are believed to be very promising high-T superconductors, with experimentally observed critical temperatures near room temperature, as shown in recently discovered lanthanide superhydrides at very high pressures, e.g. LaH at 170 GPa and CeH at 150 GPa. With the motivation of discovering new hydrogen-rich high-T superconductors at lowest possible pressure, quantitative theoretical predictions are needed. In these promising compounds, superconductivity is mediated by the highly energetic lattice vibrations associated with hydrogen and their interplay with the electronic structure, requiring fine descriptions of the electronic properties, notoriously challenging for correlated systems. In this work, we propose a first-principles calculation platform with the inclusion of many-body corrections to evaluate the detailed physical properties of…
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Taxonomy
TopicsMachine Learning in Materials Science · Advanced Chemical Physics Studies · SAS software applications and methods
