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A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks.
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- Nature Communications, 2024, v. 15, n. 1, p. 1, doi. 10.1038/s41467-024-46276-x
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A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks.
- Published in:
- Nature Communications, 2024, v. 15, n. 1, p. 1, doi. 10.1038/s41467-024-46276-x
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- Publication type:
- Article
Machine-learning-assisted material discovery of oxygen-rich highly porous carbon active materials for aqueous supercapacitors.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-40282-1
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- Article
Inverse design of metal–organic frameworks for C<sub>2</sub>H<sub>4</sub>/C<sub>2</sub>H<sub>6</sub> separation.
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- NPJ Computational Materials, 2022, v. 8, n. 1, p. 1, doi. 10.1038/s41524-022-00946-w
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- Article