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Machine-Learning-Based Prediction of the Glass Transition Temperature of Organic Compounds Using Experimental Data
[Image: see text] Knowledge of the glass transition temperature of molecular compounds that occur in atmospheric aerosol particles is important for estimating their viscosity, as it directly influences the kinetics of chemical reactions and particle phase state. While there is a great diversity of o...
| 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/PMC10077449/ https://www.ncbi.nlm.nih.gov/pubmed/37033862 http://dx.doi.org/10.1021/acsomega.2c08146 |