fig2

AI-driven design of fluorine-free polymers for sustainable and high-performance anion exchange membranes

Figure 2. Top: Distribution of the observed data for each of the target properties (OH- Conductivity, equilibrium WU, and SR), Middle: Distribution of input variables used in the machine learning model: RH (%), measurement temperature (°C), and IEC (meq/g), Bottom: scatter plots for each pair of properties, highlighting the correlation between them. WU: Water uptake; SR: swelling ratio; RH: relative humidity; IEC: ion exchange capacity.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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