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Archimedes
  • Archimedes is a tool for the design and simulation of submicron semiconductor devices. It is a 2D fast Monte Carlo simulator which can take into account all the relevant quantum effects.

    Archimedes is able to simulate electrons and heavy holes in silicon and GaAs (Gamma and L valleys) devices (holes are simulated by means of a simplified MEP model) and the presence of silicon oxide (for MOSFET devices).

    Archimedes has been developed by Jean Michel Sellier.

  • If you are interested in such kind of simulations, please contact
    archimedes [at] nextnano.de
    for further information.


Examples
2D Silicon Diode
In this example, a 2D silicon diode is modeled taking into account all relevant scattering phenomena in order to obtain a realistic simulation of the electron dynamics.
More information...

2D Silicon MESFET
In this example, a 2D silicon MESFET is modeled taking into account all relevant scattering phenomena in order to obtain a realistic simulation of the electron dynamics.
More information...


Downloads
Archimedes
Here you can download the Archimedes Windows executable:
archimedes_windows.zip (version 0.0.5, 36 kB)

input files
Some example input files can be downloaded here:
tests_windows.zip
  • Silicon Bulk
  • Silicon Diode
  • Silicon Diode MEP simulation
  • Silicon MESFET
  • Silicon MESFET MEP simulation
  • Silicon MESFET Fast Monte Carlo simulation
  • Silicon MOSFET
  • GaAs MESFET
  • Ge MESFET
All example files have the ending .input, so it is esay to recognize them.

To run a simulation, open a Windows Command Prompt (shell) and type:
archimedes.exe name_of_file.input

Please do not hesitate to contact us at
archimedes [at] nextnano.de
if you have any problems or questions during your simulations.

Silicon FET
SiFET is a simulator for silicon MESFET devices. It is based on the BBW hydrodynamical model which is solved by means of the Nesshiau-Tadmor numerical method. This simulator is very robust and can easily be utilized for an optimization strategy. It can easily be coupled with a genetic algorithm which is able to reach multiobjective targets.

Contact us at
archimedes [at] nextnano.de
for further information about it.

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