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General Questions and Answers / Question about calcutaing the current by transmission spectrum?
« on: May 27, 2012, 06:31 »
hello, I have a question here, why there is so huge difference about the current below:
bias=0.1V, same finished self-consistent consequence;
the first time calculating the transmission : TransmissionSpectrum(energies=numpy.linspace(-2,2,200)*eV), result:i=9.072968369e-15A;
the second time calculating the transmission:TransmissionSpectrum(energies=numpy.linspace(-0.05,0.05,200)*eV),result:i=4.777585453e-12A;
and I took an another test:TransmissionSpectrum(energies=numpy.linspace(-0.05,0.05,6)*eV), the energy interval is same with the first,
result:i=5.609325372e-12A.
The question puzzling me is why the second current is larger than the first since the second's enegies scope is less small? Isn't the integrating equal to the add of areas?
bias=0.1V, same finished self-consistent consequence;
the first time calculating the transmission : TransmissionSpectrum(energies=numpy.linspace(-2,2,200)*eV), result:i=9.072968369e-15A;
the second time calculating the transmission:TransmissionSpectrum(energies=numpy.linspace(-0.05,0.05,200)*eV),result:i=4.777585453e-12A;
and I took an another test:TransmissionSpectrum(energies=numpy.linspace(-0.05,0.05,6)*eV), the energy interval is same with the first,
result:i=5.609325372e-12A.
The question puzzling me is why the second current is larger than the first since the second's enegies scope is less small? Isn't the integrating equal to the add of areas?