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. 2017 Oct 23;8(12):8419–8426. doi: 10.1039/c7sc03542j

Table 2. Average relative absolute error Δτ (see eqn (1)) of exciton transfer times computed with HEOM and either, predicted by the trained neural networks (with/without PCA selection) or computed with secular Redfield. For all four datasets, we show the results of the training, validation, and test set separately. Smallest errors for each dataset are printed in bold.

Dataset Model Δτtrain [%] Δτvalid [%] Δτtest [%]
FMO Network (PCA) 4.53 4.38 7.41
Network 10.53 10.75 11.56
Redfield 9.70 9.96 9.60
RC Network (PCA) 2.71 2.73 3.35
Network 3.61 3.58 3.76
Redfield 8.62 8.67 8.60
CP43 Network (PCA) 4.42 4.47 4.72
Network 4.66 4.71 4.86
Redfield 4.71 4.66 4.73
CP47 Network (PCA) 12.36 12.32 12.59
Network 13.36 13.34 13.59
Redfield 10.48 10.47 10.51