bigerror.pdf){width="00.00000%"}  ![Generalization error of the trained neural network for random variables ranging over $[-0,0]$ with $0$ photoluminescence data and $\beta=-0$ in 0D. The relative $L^\infty$ error is $0.000\%$.[]{data-label="fig:beta0realisticerror"}](Figure//0dlambda0ralisticerror.pdf){width="00.00000%"}  ![Generalization error of the trained neural network for random variables ranging over $[-0,0]$ with $0$ photoluminescence data and $\beta=-0$ in 0D. The relative $L^\infty$ error is $0.000\%$.[]{data-label="fig:beta0realisticerror"}](Figure//0dlambda0ralisticerror.pdf){width="00.00000%"}  ![Generalization error of the trained neural network for random variables ranging over $[-0,0]$ with $0$ photoluminescence data and $\beta=0$ in 0D. The relative $L^\infty$ error is $0.000\%$.[]{data-label="fig:beta0realisticerror"}](Figure//0dlambda0ralisticerror.pdf){width="00.00000%"}  ![Dependence of exciton diffusion length on random variables in 0D when $\beta=-0$.[]{data-label="fig:beta0realistic"}](Figure//0dlambda0ralistic.pdf){width="00.00000%"}  ![Dependence of exciton diffusion length on random variables in 0D when $\beta=-0$.[]{data-label="fig:beta0realistic"}](Figure//0dlambda0ralistic.pdf){width="00.00000%"}  ![Dependence of exciton diffusion length on random variables in 0D when $\beta=0$.[]{data-label="fig:beta0realistic"}](Figure//0dlambda0ralistic.pdf){width="00.00000%"}  ![Contour plot of exciton diffusion length on random variables in 0D when $\beta=-0$.[]{data-label="fig:lambda0contour"}](Figure//lambda0contour.pdf){width="00