MOFormer: Self-Supervised Transformer Model for Metal-Organic Framework Property Prediction
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 specific applicatio...
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| Published in: | Journal of the American Chemical Society Vol. 145; no. 5; p. 2958 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
08.02.2023
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| ISSN: | 1520-5126, 1520-5126 |
| Online Access: | Get more information |
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