By developing a machine learning framework, a recent study substantially accelerates the calculation of electron–phonon coupling, making it computationally feasible to predict and understand a range of important physical phenomena, including electronic transport, hot-carrier relaxation, and superconductivity in complex materials.
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Cao, T. Accelerating predictions of electronic transport and superconductivity. Nat Comput Sci 4, 561–562 (2024). https://doi.org/10.1038/s43588-024-00678-5
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DOI: https://doi.org/10.1038/s43588-024-00678-5
