Cargando…
Solubility Prediction from Molecular Properties and Analytical Data Using an In-phase Deep Neural Network (Ip-DNN)
[Image: see text] Materials informatics is an emerging field that allows us to predict the properties of materials and has been applied in various research and development fields, such as materials science. In particular, solubility factors such as the Hansen and Hildebrand solubility parameters (HS...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2021
|
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190808/ https://www.ncbi.nlm.nih.gov/pubmed/34124451 http://dx.doi.org/10.1021/acsomega.1c01035 |