Fig 1.
BP basic network structure.
Fig 2.
Schematic illustration for geometry of the (a) yolk-shell structure.(b) Front view of yolk shell structure.
Fig 3.
Structure diagram of forward prediction neural network.
Fig 4.
(a) Learning curve of the BPNN model with BPNN algorithm prediction results of Au@TiO2, R = 2 nm, C = 4 nm, (b) prediction results, (c) simulation results. (d) Learning curve of the BPNN model with Au@Au, R = 2 nm, C = 4 nm, (e) prediction results, (f) simulation results.
Fig 5.
An absorption spectrum with a distance of 5 nm from the Au core to the shell, (a) S = 4 nm, (b) S = 7 nm, and (c) S = 9 nm; The diameter of Au nucleus is 6 nm, (d) S = 3 nm, (e) S = 5 nm, (f) S = 7 nm; The diameter of the Au nucleus is 7 nm, with (g) C = 6 nm, (h) C = 7 nm, and (i) C = 9 nm.
Fig 6.
The absorption spectrum of Au with a distance from the core to the shell of 5 nm, (a) S = 4 nm, (b) S = 7 nm, (c) S = 9 nm; The diameter of Au nucleus is 6 nm, (d) S = 3 nm, (e) S = 5 nm, (f) S = 7 nm; The diameter of the Au nucleus is 7 nm, (g) C = 5 nm, (h) C = 7 nm, and (i) C = 9 nm.
Fig 7.
BPNN reverse design architecture.
Fig 8.
(a) Au@TiO2 Predicted results and actual data, (b) Au@Au Comparison of size parameters between predicted results and real data, reverse prediction and forward prediction, (c) Au@TiO2, (d) Au@Au.