By completing the PN-Junction Lab in ABACUS - Assembly of Basic Applications for Coordinated Understanding of Semiconductors, users will be able to: a) conduct drift-diffusion modeling, b) describe the physical and mathematical operation of PN-Junctions, and c) build and validate a simple PN Junction simulation tool.
The specific objectives of the PN-Junction Lab are:
Users who are new to the physics of pn-junctions and their modeling should consult the following resources:
1. Rober F. Pierret. (1996). Semiconductor Device Fundamentals. 2nd ed. Reading, MA: Addison-Wesley. (Specifically on the theory of pn-diodes)
2. Michael Shur. (1990). Physics of Semiconductor Devices. Englewood Cliffs, NJ: Prentice Hall. (Specifically on theory of pn-diodes)
3. Dragica Vasileska, Stephen M. Goodnick and G. Klimeck. (2010). Computational Electronics: Semiclassical and Quantum Device Modeling and Simulation. Boca Raton, LA: CRC Press. (Specifically on the modeling of pn-diodes)
* Tutorial_PADRE_Simulation_Tools.pdf (tutorial)
* Physical and Analytical Description of the Operation of a PN Diode (physical, analytical model)
* PN junction in forward bias (simulation)
* Numerical solution of the Drift-Diffusion Equations for a diode (computational model)
* Drift-Diffusion Modeling and Numerical Implementation Details (implementation details and source code dissemination)
Verification of the PN-Junction tool is done by comparison of the simulation results for the electric field in equilibrium with the depletion charge approximation results. This verification process can be done only while running the tool, as it superimposes the depletion charge approximation results.
The following Worked Examples for a PN Diode are described in detail:
Example 1: Equilibrium PN-Junction
Example 2: PN-Junction Under Bias
Example 3: Non-Symmetric Junction
Example 4: Series Resistance
Exercises and Homework Assignments
Solutions to Exercises
Solutions are provided only to instructors!
This test will assess the users conceptual understanding of the physical, mathematical and computational knowledge related to the operation and modeling of PN Junctions.
Users are challenged to integrate what they have learned about PN Junctions.