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Scale-invariant machine-learning model accelerates the discovery of quaternary chalcogenides with ultralow lattice thermal conductivity

Engineering and Technology

Scale-invariant machine-learning model accelerates the discovery of quaternary chalcogenides with ultralow lattice thermal conductivity

K. Pal, C. W. Park, et al.

Discover the groundbreaking development of a scale-invariant machine-learning model by Koushik Pal and colleagues that identifies novel quaternary chalcogenides with ultralow lattice thermal conductivity. This innovative research reveals 99 DFT-validated stable compounds with remarkable thermal properties, showcasing the power of machine learning in materials discovery.

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