Fig. 6: Correlations between key properties extracted automatically from literature for three different applications. | npj Computational Materials

Fig. 6: Correlations between key properties extracted automatically from literature for three different applications.

From: A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing

Fig. 6

a Areal current density Vs Areal power density for fuel cells. the slope of the best-fit line has a slope of 0.42 V which is the typical operating voltage of a fuel cell b Proton conductivity vs. Methanol permeability for fuel cells. The red box shows the desirable region of the property space c Up-to-date Ragone plot for supercapacitors showing energy density Vs power density. d lower conversion efficiency against time for fullerene acceptors and e Power conversion efficiency against time for non-fullerene acceptors f Trend of the number of data points extracted by our pipeline over time. The dashed lines represent the number of papers published for each of the three applications in the plot and correspond to the dashed Y-axis.

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