179 citations · 342 across the 9 of their papers we have counts for
Showing 2023 · cond-mat.mtrl-sciShow all
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cond-mat.mtrl-sci2023★ 7 cited
Coarse-grained crystal graph neural networks for reticular materials design
Vadim Korolev, Artem Mitrofanov
Reticular materials, including metal-organic frameworks and covalent organic frameworks, combine relative ease of synthesis and an impressive range of applications in various field…
cond-mat.mtrl-sci2023★ 43 cited
Toward Accurate Interpretable Predictions of Materials Properties within Transformer Language Models
Vadim Korolev, Pavel Protsenko
Property prediction accuracy has long been a key parameter of machine learning in materials informatics. Accordingly, advanced models showing state-of-the-art performance turn into…