most citedAccelerating Discovery of Metal-Insulator Transition Compounds Using Physics-Informed Machine Learning

2 citations · 2 across the 1 of their papers we have counts for

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cond-mat.mtrl-sci2024★ 2 cited

Accelerating Discovery of Metal-Insulator Transition Compounds Using Physics-Informed Machine Learning

Alexandru B. Georgescu, Peiwen Ren, Harshul Bhatt +4

Metal-insulator transition (MIT) materials are a useful platform for emerging microelectronic, optoelectronic, and neuromorphic devices, but their discovery is hindered by the high…