April 20, 2024 In Unkategorisiert
Predictive gadget finding out fashions skilled on experimental datasets for electrochemical nitrogen aid
Digital Discovery, 2024, 3,667-673
DOI: 10.1039/D3DD00151B, Paper
DOI: 10.1039/D3DD00151B, Paper
![Open Access](http://sod-a.rsc-cdn.org/pubs.rsc-uat.org/content/NewImages/open_access_blue.png)
![Creative Commons Licence](http://sod-a.rsc-cdn.org/pubs.rsc-uat.org/content/NewImages/CCBY-NC.png)
Darik A. Rosser, Brianna R. Farris, Kevin C. Leonard
Obtaining useful insights from machine learning models trained on experimental datasets collected across different groups to improve the sustainability of chemical processes can be challenging due to the small size and heterogeneity of the dataset.
The content of this RSS Feed (c) The Royal Society of Chemistry
Obtaining useful insights from machine learning models trained on experimental datasets collected across different groups to improve the sustainability of chemical processes can be challenging due to the small size and heterogeneity of the dataset.
The content of this RSS Feed (c) The Royal Society of Chemistry
No Comments