3 Introduction to the Quantum Theory of Solids
3.1 Allowed and Forbidden Energy Bands
3.1.3 The \(k\)-Space Diagram
the k comes from that all one-electron wave functions, for problems involving periodically varying potential energy functions, must be of the form \(\psi(x)=u(x)e^{jkx}\)
Equation gives the relation between the parameter \(k\) total energy \(E\) (through the parameter \(\alpha\)), and the potential barrier \(bV_0\).
We assume that \(V_0=0\), then we acquire
\(\alpha\) is given by\(\sqrt{\frac{2mE}{\hbar^2}}=\frac{p}{\hbar}=k\), so we obtain the relationship between \(k\) and \(E\)
Now, we consider the relation between \(E\) and \(k\) form Equation for the particle in the single-crystal lattice.
define the left side of the Equation as
$$ f(\alpha a)=P'\frac{\sin\alpha a}{\alpha a}+\cos\alpha a $$ to the right side, we also have,
$$ f(\alpha a)=\cos ka $$
the right side can also be written as \(\cos ka=\cos(ka+2n\pi)=\cos(ka-2n\pi)\)
then we gain
3.2 Electrical Conduction In Solids
3.2.1 The Energy Band and the Bond Model
3.2.2 Drift Current
the drift current density
if a force is applied to a particle and the particle moves.
3.2.3 Electron Effective Mass
and we add \(m^*\) as effective mass
then back to the Equation, we obtain,
and, if we take the second derivative of \(E\) with respect to \(k\)
apply the Newton's classical equation of motion:
对\(k\)和\(E\)的关系进行近似,即
since that,
then the acceleration,
\(m^*_N\) denotes the effective mass of the electron
3.2.4 Concept of the Hole
3.2.5 Metals, Insulators, and Semiconductors
3.3 Extension to Three Dimensions
3.4 Density of States Functions
量子态密度。
\(g_V(E)\)代表空穴每单位体积每单位能量的量子态数
-E\(g_C(E)\)代表导带中每单位体积每单位能量的量子态数
3.5 Statistical Mechanics
概率密度函数:
\(N(E)\)为单位体积单位能量的粒子数,\(g(E)\)为单位体积单位单位能量的量子状态。
\(E_F\)为费米能级
\(f_F(E)\)为Fermi-Dirac distribution/ probability function,代表能量为E的量子态被电子占据的可能性
- 开始时考虑\(T=0k, E<E_F\),则\(f_F=1\);若\(E>E_F\),则\(f_F=0\)。如下图\(E_4<E_F\le E_5\)。
- 温度升高,一定的电子跃入更高的能级,电子分布发生改变
\(E_F\)以上\(dE\)距离处被电子占据的概率,与\(E_F\)以下\(dE\)距离处为空穴的概率相等,因此
Maxwell-Boltzmann approximation \(f_F(E)\approx exp\left[\frac{-(E-E_F)}{kT}\right]\)