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(1D DDCC)
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== [[1D DDCC]] ==
 
== [[1D DDCC]] ==
   
[[1D DDCC]] is named from one dimensional Drift-diffusion Charge Control solver. This solver initially solved Poisson Schrodinger Equation developed in U of M, Ann Arbor. Then the function of drift-diffusional solver was added by Prof. Yuh-Renn Wu when he was PhD student in UM and got its name DDCC. After Prof. Wu was an professor in NTU, he continues to improvement of this program. This solver now can solve many different problems such as trap problem, Gaussian shape tail state models, field dependent mobility, optical cavity mode model, and the newly added localization landscape model. The Polarization charges induced in nitride system can be considered as well. The nitride based 6 band k.p solver was also added into this program so that it can analyze the band structure variation due to strain.
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1D DDCC is named from one dimensional Drift-diffusion Charge Control solver. This solver initially solved Poisson Schrodinger Equation developed in U of M, Ann Arbor. Then the function of drift-diffusional solver was added by Prof. Yuh-Renn Wu when he was PhD student in UM and got its name DDCC. After Prof. Wu was an professor in NTU, he continues to improvement of this program. This solver now can solve many different problems such as trap problem, Gaussian shape tail state models, field dependent mobility, optical cavity mode model, and the newly added localization landscape model. The Polarization charges induced in nitride system can be considered as well. The nitride based 6 band k.p solver was also added into this program so that it can analyze the band structure variation due to strain.
   
 
== Manual ==
 
   
 
== [[2D DDCC]] ==
 
== [[2D DDCC]] ==
   
   
[[2D DDCC]] is named from two dimensional Drift-diffusion Charge Control solver. This is 2D finite element based Poisson and drift-diffusion solver developed by Dr. Yuh-Renn Wu. This solver initially developed with the thermal solver. Then the Poisson and drift-diffusion solver was added into this project. This solver was initially developed to solves AlGaN/GaN HEMT structure. Therefore, the 1D Schrodinger cross section solver was added into the program for obtaining the confined state information. The electric field distribution was then used in Monte Carlo program for high field transport. After Dr. Wu returned NTU, the program was then modified to solve LED based current spreading problem. The mesh algorithm was then improve gradually in order to deal with certain problem. After years development, the 2D FEM based Schrodinger eigen solver was added. It also accept additional module to read in the optical field from 2D FD-TD program so that it can consider the solar cell problem. Then the 2D ray tracing program was added into this project to solve the light extraction problem. This solver now can solve many different problems such as trap problem, Gaussian shape tail state models, field dependent mobility, thermal, light extraction. Recently, localization landscape model was also added into this program so that it can calculate the effective quantum potential very efficiently.
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2D DDCC is named from two dimensional Drift-diffusion Charge Control solver. This is 2D finite element based Poisson and drift-diffusion solver developed by Dr. Yuh-Renn Wu. This solver initially developed with the thermal solver. Then the Poisson and drift-diffusion solver was added into this project. This solver was initially developed to solves AlGaN/GaN HEMT structure. Therefore, the 1D Schrodinger cross section solver was added into the program for obtaining the confined state information. The electric field distribution was then used in Monte Carlo program for high field transport. After Dr. Wu returned NTU, the program was then modified to solve LED based current spreading problem. The mesh algorithm was then improve gradually in order to deal with certain problem. After years development, the 2D FEM based Schrodinger eigen solver was added. It also accept additional module to read in the optical field from 2D FD-TD program so that it can consider the solar cell problem. Then the 2D ray tracing program was added into this project to solve the light extraction problem. This solver now can solve many different problems such as trap problem, Gaussian shape tail state models, field dependent mobility, thermal, light extraction. Recently, localization landscape model was also added into this program so that it can calculate the effective quantum potential very efficiently.
   
   
== [[3D DDCC]] ==
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== 3D DDCC ==
   
   

於 2017年1月29日 (日) 10:43 的修訂

DDCC MENU


1D DDCC

1D DDCC is named from one dimensional Drift-diffusion Charge Control solver. This solver initially solved Poisson Schrodinger Equation developed in U of M, Ann Arbor. Then the function of drift-diffusional solver was added by Prof. Yuh-Renn Wu when he was PhD student in UM and got its name DDCC. After Prof. Wu was an professor in NTU, he continues to improvement of this program. This solver now can solve many different problems such as trap problem, Gaussian shape tail state models, field dependent mobility, optical cavity mode model, and the newly added localization landscape model. The Polarization charges induced in nitride system can be considered as well. The nitride based 6 band k.p solver was also added into this program so that it can analyze the band structure variation due to strain.


2D DDCC

2D DDCC is named from two dimensional Drift-diffusion Charge Control solver. This is 2D finite element based Poisson and drift-diffusion solver developed by Dr. Yuh-Renn Wu. This solver initially developed with the thermal solver. Then the Poisson and drift-diffusion solver was added into this project. This solver was initially developed to solves AlGaN/GaN HEMT structure. Therefore, the 1D Schrodinger cross section solver was added into the program for obtaining the confined state information. The electric field distribution was then used in Monte Carlo program for high field transport. After Dr. Wu returned NTU, the program was then modified to solve LED based current spreading problem. The mesh algorithm was then improve gradually in order to deal with certain problem. After years development, the 2D FEM based Schrodinger eigen solver was added. It also accept additional module to read in the optical field from 2D FD-TD program so that it can consider the solar cell problem. Then the 2D ray tracing program was added into this project to solve the light extraction problem. This solver now can solve many different problems such as trap problem, Gaussian shape tail state models, field dependent mobility, thermal, light extraction. Recently, localization landscape model was also added into this program so that it can calculate the effective quantum potential very efficiently.


3D DDCC

3D DDCC is named from three dimensional Drift-diffusion Charge Control solver. This is 3D finite element based Poisson and drift-diffusion solver developed by Dr. Yuh-Renn Wu. This solver initially developed with the 3D FEM thermal solver by Dr. Chi-kang Li when he was PhD student in Dr. Wu's group. Then the Poisson and drift-diffusion solver was added by Dr. Wu into this project. This solver was basically an expansion of 2D program into 3D program. Therefore, all new algorithm added in 2D program will be soon added into 3D program if no errors was found. The mesh algorithm was from Gmsh program. It also accept other mesh algorithm as long as it can be converged into gmsh format. The 3D FEM based Schrodinger eigen solver was also added. It also accept additional module to read in the optical field from 3D FD-TD program so that it can consider the solar cell problem. Then the 3D ray tracing program was developing. This solver now can solve many different problems such as trap problem, Gaussian shape tail state models, field dependent mobility, thermal, light extraction. Recently, 3D localization landscape model was also added into this program so that it can calculate the effective quantum potential very efficiently.