most citedDetecting Thermodynamic Phase Transition via Explainable Machine Learning of Photoemission Spectroscopy

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cond-mat.supr-con2024★ 4 cited

Detecting Thermodynamic Phase Transition via Explainable Machine Learning of Photoemission Spectroscopy

Xu Chen, Yuanjie Sun, Eugen Hruska +5

Identifying thermodynamic signatures of electronic phases, such as superconductivity, is challenging in low-dimensional materials due to strong fluctuations and low probing volume.…