def rates(filename, **kwargs):
"""
Plot scattering rates
"""
from amset.plot.rates import RatesPlotter
plotter = RatesPlotter(filename)
plt = plotter.get_plot(separate_rates=kwargs["separate_rates"])
save_plot(plt, "rates", kwargs["directory"], kwargs["prefix"],
kwargs["image_format"])
return plt
def rates(filename, **kwargs):
"""
Plot scattering rates
"""
from amset.plot.rates import RatesPlotter
save_kwargs = [
kwargs.pop(d) for d in ["directory", "prefix", "image_format"]
]
kwargs["doping_idx"] = _all_or_int(kwargs["doping_idx"])
kwargs["temperature_idx"] = _all_or_int(kwargs["temperature_idx"])
plotter = RatesPlotter(filename)
plt = plotter.get_plot(**kwargs)
plt.subplots_adjust(hspace=0.3, wspace=0.3)
save_plot(plt, "rates", *save_kwargs)
return plt
# general settings
"doping": [-3e13],
"temperatures": [201, 290, 401, 506, 605, 789, 994],
"bandgap": 1.33,
# electronic_structure settings
"interpolation_factor": 50,
# scattering rate settings
"deformation_potential": (1.2, 8.6),
"elastic_constant": 139.7,
"donor_charge": 1,
"acceptor_charge": 1,
"static_dielectric": 12.18,
"high_frequency_dielectric": 10.32,
"pop_frequency": 8.16,
# performance settings
"mobility_rates_only": True,
"write_mesh": True,
}
if __name__ == "__main__":
runner = Runner.from_vasprun("vasprun.xml.gz", settings)
amset_data = runner.run()
plotter = RatesPlotter(amset_data)
plt = plotter.get_plot()
plt.savefig("GaAs_rates.png", bbox_inches="tight", dpi=400)