Table 1 Results of optimisation for 9 experiments over three different targets.

From: Rapid Bayesian optimisation for synthesis of short polymer fiber materials

Run #

Target

L T

D T

Start states

BFV

Iteration

L%

D%

Figure

1

1 μm

70 μm

1 μm

Random

0.221

14

0.5

4.8

4

2

1 μm

70 μm

1 μm

Random

0.261

7

42.6

19.8

 

3

1 μm

70 μm

1 μm

Random

0.264

13

2.5

14.0

 

4

1 μm

70 μm

1 μm

Bad

0.161

12

0.5

4.8

S.1 (Supplement)

5

1 μm

70 μm

1 μm

Good

0.204

3

20.6

3.4

 

6

2 μm

40 μm

0.6 μm

Random

0.237

13

15.8

0.5

 

7

2 μm

40 μm

0.6 μm

Random

0.223

6

33.6

0.2

 

8

3 μm

50 μm

0.4 μm

Random

0.307

4

2.7

104

 

9

3 μm

50 μm

0.4 μm

Random

0.331

2

2.7

104

S.2 (Supplement)

  1. Each run is identified by a run number, target length, and diameter. The table shows the starting state (random, bad, or good), best found value (BFV) of the objective function, the iteration this was achieved, and the corresponding deviations from target length and diameter.
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