Next, the samples were capped with a 200-nm-thick SiO2 layer using e-beam evaporation and heated in a rapid thermal annealing (RTA) chamber in an N2 atmosphere at 900°C for 2 min to implement the phosphorus diffusion to obtain an n+-Si emitter.
Programmatically, model variables at grid points in the list are updated in a second phase after updating all grid points under whichever numerical method is chosen to implement the cardiac reaction-diffusion equations.
Moreover, the same optics which delivers the PA optical excitation can be used for photothermal (PT) induction of the heat which is needed for implementing the thermal diffusion measurement.
In order to finely control the strength of the forward and backward diffusion, and separately design the efficient algorithm to numerically implement the forward and backward diffusion, we propose a two-step splitting method to iteratively solve the proposed model.
In particular, we implement the recently introduced corrected diffusion approximation in two spatial dimensions to model these boundary measurements.
Saul'yev was implemented for the diffusion limited potential step experiment, as well as linear sweep voltammetry for a reversible system.
The same process was implemented in the diffusion model.
To obtain the chaos coefficients in the corresponding deterministic reaction diffusion, we implement the usual Galerkin finite element method using standard techniques.
Rather than implementing the complete reaction-diffusion equations describing the PI 3,4,5 P3 model, we simplify it by using a steady-state distribution of PI 3,4,5 P3 along the cellular membrane.
