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MOFormer: Self-Supervised Transformer Model for Metal–Organic Framework Property Prediction
[Image: see text] Metal–organic frameworks (MOFs) are materials with a high degree of porosity that can be used for many applications. However, the chemical space of MOFs is enormous due to the large variety of possible combinations of building blocks and topology. Discovering the optimal MOFs for s...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041520/ https://www.ncbi.nlm.nih.gov/pubmed/36706365 http://dx.doi.org/10.1021/jacs.2c11420 |