most citedDatabase, Features, and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds

45 citations · 45 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023

Interpretable Architecture Neural Networks for Function Visualization

Shengtong Zhang, Daniel W. Apley

In many scientific research fields, understanding and visualizing a black-box function in terms of the effects of all the input variables is of great importance. Existing visualiza…

cond-mat.mtrl-sci2020★ 45 cited

Database, Features, and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds

Alexandru B. Georgescu, Peiwen Ren, Aubrey R. Toland +6

Metal-insulator transition (MIT) compounds are materials that may exhibit insulating or metallic behavior, depending on the physical conditions, and are of immense fundamental inte…