Machine learning trained on experimental data can identify known transparent conducting materials from chemical formula alone, but its discoveries are compositionally similar to its training set.
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Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials
Machine learning trained on experimental data can identify known transparent conducting materials from chemical formula alone, but its discoveries are compositionally similar to its training set.