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. 2019 Mar 18;10(16):4377–4388. doi: 10.1039/c8sc05340e

Table 1. NN training and prediction for desorption simulation results.

Sorption system Model Training MSE a (×10–4) Test MSE a (×10–4) Simulation variance (×10–4)
MFI-C5-W SorbNet 3.8 ± 0.5 9.3 ± 0.9 2.8
Shallow 4.3 ± 0.2 9.4 ± 0.4
MFI-C4-W SorbNet 2.5 ± 0.4 4.5 ± 0.7 1.9
Shallow 4.1 ± 0.5 7.2 ± 1.1
MFI-C5-E SorbNet 1.9 ± 0.4 5.6 ± 0.9 0.7
Shallow 2.7 ± 0.3 7.5 ± 0.7
LTA-C5-W SorbNet 2.8 ± 0.6 7.6 ± 1.6 1.4
Shallow 3.8 ± 0.2 9.6 ± 0.5

aMean square errors were evaluated using the averaged simulation result as the true value. Standard deviations were measured from 8 training runs.