Table 8 Averages and standard deviations of estimated χN values for each χN in the 4-class problem.

From: Deep learning-based estimation of Flory–Huggins parameter of A–B block copolymers from cross-sectional images of phase-separated structures

 

(f, N) = (0.2, 20)

(f, N) = (0.2, 40)

(f, N) = (0.35, 20)

(f, N) = (0.35, 40)

χN = 25

24.852 ± 0.032

24.875 ± 0.056

25.062 ± 0.184

25.006 ± 0.111

χN = 30

29.910 ± 0.066

29.876 ± 0.102

30.183 ± 0.436

30.004 ± 0.210

χN = 35

35.064 ± 0.083

34.865 ± 0.163

35.145 ± 0.639

35.011 ± 0.277

χN = 40

40.161 ± 0.104

39.845 ± 0.186

40.004 ± 0.414

39.925 ± 0.270

χN = 27.5

26.385 ± 0.115

27.387 ± 0.079

27.797 ± 0.796

27.401 ± 0.417

χN = 32.5

32.236 ± 0.224

32.201 ± 0.137

33.155 ± 1.031

32.704 ± 0.704

χN = 37.5

37.594 ± 0.727

37.677 ± 0.200

37.563 ± 1.540

37.622 ± 1.071

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