A high-throughput machine-learning phonon screen finds 1,208 stable metallene sandwich structures, identifying MoSe2 and buckled hexagonal lattices as the most stabilizing combinations.
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Machine-Learning-Accelerated Metallene Stabilization from High-Throughput Sandwich Modeling
A high-throughput machine-learning phonon screen finds 1,208 stable metallene sandwich structures, identifying MoSe2 and buckled hexagonal lattices as the most stabilizing combinations.