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$1Daddefmas
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$1Daddefmas is the function to add additional effective mass information for electron and holes. In some cases, the electron's (holes) effective mass in different directions are different. Hence the new functions is to put additional information for the program to calculate. $1Daddefmas I_effective_type <math> m_{hh,z} ~~ m_{hh,x}~~ m_{hh,y}~~m_{lh,z} ~~ m_{lh,x}~~ m_{lh,y} ~~m_{e,z} ~~ m_{e,x}~~ m_{hh,y}~~N_{valley}..</math> <math> m_{hh,z} ~~ m_{hh,x}~~ m_{hh,y}~~m_{lh,z} ~~ m_{lh,x}~~ m_{lh,y} ~~m_{e,z} ~~ m_{e,x}~~ m_{hh,y}~~N_{valley}..</math> ... to N layers I_effective_type is the input type. The default should be 1. The typical semiconductor material has heavy hole, light hole, and electron effective mass of direct band. The type 1 is used. For I_effective_type= 1, <math> m_{hh,z} ~~ m_{hh,x}~~ m_{hh,y}~~m_{lh,z} ~~ m_{lh,x}~~ m_{lh,y} ~~m_{e,z} ~~ m_{e,x}~~ m_{hh,y}~~ N_{valley}..</math> For I_effective_type= 2, <math> m_{hh,z} ~~ m_{hh,x}~~ m_{hh,y}~~m_{lh,z} ~~ m_{lh,x}~~ m_{lh,y} ~~m_{e,z} ~~ m_{e,x}~~ m_{hh,y}~~ N_{valley}~~m_{e,z,2nd valley} ~~ m_{e,x,2nd valley}~~ m_{hh,y,2nd valley}~~ N_{valley}~~ \Delta E_{2 to 1}</math> Note: type 2 is under testing. z is the calculation direction of 1D program. If there is a QW, z is the confined direction in the 1D program. <math>N_{valley}</math> is the valley number of electrons For example, for a material like GaN effective mass for HH is 1.8, LH=0.17, and the electron is 0.21 in the growth direction and 0.2 in the x,y direction. We set $1Daddefmas 1 1.8 1.8 1.8 0.17 0.17 0.17 0.21 0.2 0.2 1 1.8 1.8 1.8 0.17 0.17 0.17 0.21 0.2 0.2 1 1.8 1.8 1.8 0.17 0.17 0.17 0.21 0.2 0.2 1 .... to N layers For example, for a material effective mass for HH_growth direction is 1.4 in the other two directions are 0.7 and 0.9, LH=0.17, and electron is 0.3 in the growth direction and 0.1 in the x,y direction with 3 valleys, we set $1Daddefmas 1 1.4 0.7 0.9 0.17 0.17 0.17 0.3 0.1 0.1 3 1.4 0.7 0.9 0.17 0.17 0.17 0.3 0.1 0.1 3 1.4 0.7 0.9 0.17 0.17 0.17 0.3 0.1 0.1 3 .... to N layers Actually, the simulation program, it mainly uses the density of state effective mass. The different direction's effective mass will be put together as For conduction band: <math> m_{dos}^{*} = (N_{valley})^{2/3} ( m_x m_y m_z)^{1/3} </math> For the valence band <math> m_{HH, dos}^{*} = ( m_{hh,x} m_{hh,y} m_{hh,z})^{1/3} </math> <math> m_{LH, dos}^{*} = ( m_{lh,x} m_{lh,y} m_{lh,z})^{1/3} </math> <math> m_{p, dos}^{*} = ( m_{hh,dos}^{3/2}+ m_{hh,dos}^{3/2} ) ^{2/3} </math> For the Schrodinger solver, it will use m_z to calculate the quantum confinement effects. The equation will solve <math> {- \nabla \frac{1}{m_{z}} \nabla + V } \psi = E \psi </math> The for the n2d calculation, the density of state effective mass in the 2D structures is <math> m_{2d,dos}^{*} = ( m_{x} m_{y} ) ^{1/2} </math> <math> N_{DOS}(E) = \frac{m_{2d,dos}^{*}}{\pi\hbar^{2}}</math> For structures like Si, it may have some problems when Schrodinger solver is used. Since Si has six valleys with effective masses in different directions (<math>m_{l}=0.98 m_{0}, m_{l}=0.19 m_{0}</math>, if we do not solve the Schrodinger equations, we can simply use m_e =1.08 m0 in the $1Dparameter. Or here, we can set $1Daddefmas 1 0.49 0.49 0.49 0.16 0.16 0.16 0.98 0.19 0.19 6 For the Schrodinger solver, after quesnum confine effects, we can expect 2 confinement in the electron effective mass, the lower valleys are z valleys with mz=0.98, N=2. We can neglect the high valleys and only 2 valleys are left as ground states. The setting would be $1Daddefmas 1 0.49 0.49 0.49 0.16 0.16 0.16 0.98 0.19 0.19 2 <math> m_{2d,dos}^{*} = ( m_{x} m_{y} ) ^{1/2} (N)^{1/2}= 0.19 * \sqrt{2} * m_{0} </math> <math> N_{DOS}(E) = \frac{m_{2d,dos}^{*}}{\pi\hbar^{2}}</math> If we want to use type 2 to consider the second confine states, we can set $1Daddefmas 2 0.49 0.49 0.49 0.16 0.16 0.16 0.98 0.19 0.19 2 0.19 0.98 0.19 4 For unconfined conditions, it will set the mass of electron to be <math> m_{dos}^{*} = \left( (m_x m_y m_z)^{1/3})^{3/2} \times 2 + (m_x m_y m_z)^{1/3})^{3/2} \times 4 \right)^{2/3} </math> For the confined conditions, it will <math> m_{2d,dos,1}^{*} = ( m_{x} m_{y} ) ^{1/2} (N)^{1/2}= 0.19 * \sqrt{2} * m_{0} </math> <math> m_{2d,dos,2}^{*} = ( m_{x} m_{y} ) ^{1/2} (N)^{1/2}= (0.19 * 0.98)^{1/2} \sqrt{4} * m_{0} </math>
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