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A small-data-driven model for predicting adsorption properties in polymeric thin films.
- Source :
-
Chemical communications (Cambridge, England) [Chem Commun (Camb)] 2022 Sep 29; Vol. 58 (78), pp. 10953-10956. Date of Electronic Publication: 2022 Sep 29. - Publication Year :
- 2022
-
Abstract
- Artificial intelligence allowing data-driven prediction of physicochemical properties of polymers is rapidly emerging as a powerful tool for advancing material science. Here, we developed a methodology to use polymer adsorption data as predictable data by analyzing causal relationships between polymer properties and experimental results instead of using big polymer data.
Details
- Language :
- English
- ISSN :
- 1364-548X
- Volume :
- 58
- Issue :
- 78
- Database :
- MEDLINE
- Journal :
- Chemical communications (Cambridge, England)
- Publication Type :
- Academic Journal
- Accession number :
- 36082781
- Full Text :
- https://doi.org/10.1039/d2cc03567g