75 citations · 107 across the 2 of their papers we have counts for
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cond-mat.supr-con2022★ 32 cited
Clustering Superconductors Using Unsupervised Machine Learning
B. Roter, N. Ninkovic, S. V. Dordevic
In this work we used unsupervised machine learning methods in order to find possible clustering structures in superconducting materials data sets. We used the SuperCon database, as…
cond-mat.supr-con2020★ 75 cited
Predicting new superconductors and their critical temperatures using unsupervised machine learning
B. Roter, S. V. Dordevic
We used the superconductors in the SuperCon database to construct element vectors and then perform unsupervised learning of their critical temperatures (T). Only the chemical c…