Estimation of diffusion coefficients from voltammetric signals by support vector and gaussian process regression

Table 4 Simulation parameters for the EC, E _qr , and E _qr C mechanism

EC: A $\overset{\pm e}{⇌}$ B $\overset{k_{1}}{\to}$ C
k₁ (s ^-1)	0.001, 0.01, 0.1, 1, 10, 100, 1000
D (cm ² s ^-1)	1 ·10^-6, 1.5 ·10^-6, …, 5 ·10^-5, 5.05 ·10^-5
E⁰ (V)	0.3
E_start (V)	0
E_rev (V)	0.7
E _qr : A $\overset{\pm e}{⇌}$ B
k_s (cm s ^-1)	0.001, 0.005, 0.01, 0.02, …, 0.1, 0.5, 1
D (cm ² s ^-1)	as EC
E⁰ (V)	0.2108
E_start (V)	0
E_rev (V)	0.5
E _qr C: A $\overset{\pm e}{⇌}$ B $\overset{k_{1}}{\to}$ C
k₁ (s ^-1)	as EC
k_s (cm s ^-1)	as E_qr
D (cm ² s ^-1)	as EC
E⁰ (V)	0.2775
E_start (V)	0
E_rev (V)	0.6

ISSN: 1758-2946