Latest revision as of 10:52, 6 August 2017

Questions

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Solutions of all questions

a)

b) $ x_n<1\mu m $

$ \rho=q(p-n+N_D-N_A) $

$ x_n>1\mu m $

c) $ \begin{align*} N_Ax_p&=N_{D1}\cdot1\mu m+N_{D2}(x_n-1)\\ x_n&=1.25\mu m\text{ (chk)} \end{align*} $

d)$ \begin{align*} E_{max}&=\frac{qN_Ax_p}{k_s\epsilon_0}\\ \text{where;}\\ x_p&=\sqrt{\frac{2k_s\epsilon_0}{q}\cdot \frac{N_{D1}}{N_A(N_{D1}+N_A)}\cdot V_{bi}}\\ \text{and }V_{bi}&=\frac{kT}{q}\ln\frac{N_AN_{D1}}{n_i^2} \end{align*} $

e)$ \rho=\begin{cases} 0 &x<-x_p\\ -qN_A &-x_p\le x\le \text{ region 1}\\ qN_{D1} & 0\le x\le x_{n1}\text{ region 2}\\ qN_{D2} & x_{n1}\le x\le x_{n2}\text{ region 3}\\ 0 & x>x_{n2} \end{cases} $ need to solve; $ \frac{dE}{dx}=\frac{\rho}{\epsilon} $

• region 1

$ \int_{E(-x_p)}^{E(x)}dE = \frac{-qN_A}{k_s\epsilon_0}\int_{-x_p}^xdx $ $ \implies E(x)=\frac{-qN_A}{k_s\epsilon_0}(x+x_p) $ at $ x=0 $ $ E(0) = \frac{-qN_A}{k_s\epsilon_0}x_p $

• region 2

$ \int_{E(0)}^{E(x)}dE = \frac{qN_{D1}}{k_s\epsilon_0}\int_{0}^xdx $ $ \implies E(x)=\frac{qN_{D1}}{k_s\epsilon_0}x+\frac{qN_A}{k_s\epsilon_0}x_p $

• region 3

$ \int_{E(x)}^{E(x_{n2})}dE = \frac{qN_{D2}}{k_s\epsilon_0}\int_{x}^{x_{n2}}dx $ $ \implies 0-E(x)=\frac{qN_{D2}}{k_s\epsilon_0}(x_{n2}-x) $ $ \implies E(x)=\frac{qN_{D2}}{k_s\epsilon_0}(x-x_{n2}) $

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