search

qpv-research-group / solcore5

A multi-scale, python-based library for the modelling of solar cells and semiconductor materials
https://www.solcore.solar/
Other
133 stars 77 forks source link

Fermi-Dirac statistics #3

Open dalonsoa opened 6 years ago

dalonsoa commented 6 years ago

Solcore's PDD solver, as it is very often the case, uses the Boltzmann approximation. While that is good enough for many applications - and usually faster - there are cases where a more rigorous treatment, using the Fermi-Dirac (FD) statistics, will be useful: highly doped materials, quantum wells, etc.

Ideally, using FD statistics should be implemented as a modification of the existing solver, rather than a separate solver.

tcaduser commented 6 years ago

FD integrals here https://github.com/scott-maddox/fdint

dalonsoa commented 6 years ago

Thank you very much for the information. It is certainly an excellent source of information and references, although it will need some tweaking as the PDD solver is written in Fortran with quadruple precision variables.

tcaduser commented 6 years ago

I'm confused what f2py actually does.

For my own code, I am using the Joyce-Dixon approximation in double precision.

https://github.com/devsim/devsim/blob/master/src/MathEval/Fermi.cc

dalonsoa commented 6 years ago

f2py is a Python tool that compiles a Fortran module and makes the functions and variables inside accessible from Python as with any other Python package. You have more information here: https://docs.scipy.org/doc/numpy/f2py/