A selection of tools used to analyse both real and simulated solar cells.
Contains classes for loading and analysing outputs from the IonMonger drift diffusion model. Takes the output of the following MATLAB script.
Modify your parameter input file to take loop_item as its argument and place loop_item as the variable you wish to iterate through.
% Begin
clear;
tic;
fprintf('Computation started at %s\n', datestr(now));
reset_path();
% Place list of variable to iterate through in var_list
var_list = 1.2./logspace(-3,1);
results = cell(length(var_list),2); % create a len(var_list) by 2 array
for k = 1:length(var_list) % for i in len(var_list)
loop_item = var_list(k); % MATLAB version of enumerate()
disp(loop_item) % print(loop_item)
results{k,1} = var_list(k); % place variable in column 1 of results
params = parameters(loop_item); % make params struct using modified parameters file
try % try to run simulation for iteration
sol = numericalsolver(params); % solve for params given
results{k,2} = struct(sol); % place solution for variable in column 2
% plot_sections(sol,[2, 3]) % plot graph for visual check
% axis([0 1.4 0 25]) % adjust axes
catch me % if simulation failed, display error and move to next iteration
disp('error')
end
end
% Stop stopwatch and output nice message
fprintf('Completed simulation at %s, taking %s\n', ...
datestr(now), secs2hms(toc) )
Contains classes and functions for loading and analysing experimental JV data.